Conference Session

NSF Grantees Poster Session I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Chandramouli Viswanathan Chandramouli, Purdue University, Calumet (Engineering); Emily Hixon; Chenn Q. Zhou, Purdue University, Calumet (Engineering); John Moreland, Purdue University Northwest; Jichao Wang, CIVS, Purdue University Calumet; zitao xiong, tappollo; Rameh Teegavarapu, Florida Atlantic University; Pradeep K. Behera P.E., University of the District of Columbia; JAMES FORREST FOX, University of Kentucky

Tagged Topics

NSF Grantees Poster Session

Paper ID #17064Evaluating the Usefulness of Virtual 3-D Lab Modules Developed for a Flood-ing System in Student LearningDr. Chandramouli Viswanathan Chandramouli, Purdue University, Calumet (Engineering) Dr. Chandra has more than 20 years of teaching and research experience in Civil Engineering - Hydrology and Water Resources division. His research area includes water resources systems analysis, flood, drought and water quality modeling. He uses artificial intelligence techniques in his research.Dr. Emily HixonDr. Chenn Q. Zhou, Purdue University, Calumet (Engineering)John Moreland, Purdue University Northwest John Moreland

Conference Session

FPD II: Hands-on Curriculum in the First Year

Collection

2012 ASEE Annual Conference & Exposition

Authors

Lacey Jane Bodnar, Texas A&M University; Magdalini Z. Lagoudas, Texas A&M University; Jacqueline Q. Hodge, Texas A&M University; Travis Austin Smith, Engineering Student Services and Academic Programs; Jesus A. Orozco; Joshua Grant Corso; Cristian R. Sanchez; Jillian Kathleen Freise, Texas A&M ELLC Children's Museum; Hannah Ringler, Texas A&M University; Ivan Cortes, Texas A&M University

Tagged Divisions

First-Year Programs

AC 2012-4319: ENGAGING FRESHMAN IN TEAM BASED ENGINEER-ING PROJECTSMs. Lacey Jane Bodnar, Texas A&M University Lacey Bodnar is a master’s of engineering student in water resources engineering at Texas A&M Uni- versity. Her undergraduate degree was from the University of Nebraska, Lincoln in 2010. She currently works for the Engineering Student Services and Academic Programs Office and is pleased to be involved in managing exciting freshman engineering projects.Ms. Magdalini Z. Lagoudas, Texas A&M UniversityMs. Jacqueline Q. Hodge, Texas A&M University Jacqueline Hodge is a native of Giddings, Texas and currently the Project Manager for the Engineering Student Services & Academic Programs Office

Conference Session

Recruitment, Retention, and First-Year Programs in ECE

Collection

2011 ASEE Annual Conference & Exposition

Authors

Eric A Freudenthal, University of Texas, El Paso; Art Duval, University of Texas, El Paso; Sarah Hug, University of Colorado, Boulder; Alexandria Nicole Ogrey; Kien H. Lim, University of Texas, El Paso; Catherine Tabor, El Paso Independent School District; Rebeca Q. Gonzalez, UTEP-Graduate Student and EPISD-Teacher; Alan Siegel, New York University

Tagged Divisions

Electrical and Computer

science teacher in El Paso, Texas. She holds a BA in mathematics, a BS in physics , and a MA in Science Teaching (emphasis physics).Rebeca Q. Gonzalez, UTEP-Graduate Student and EPISD-Teacher A former Electrical engineering from ITCJ in Mexico currently teaching 9-12 pre-engineering courses and computer science and a master of arts in teaching science graduate student from University of Texas at El Paso.Prof. Alan Siegel, New York University Alan Siegel is a professor in the department of computer science and NYU. His research is in the mathe- matical foundations of computer algorithms, and in the pedagogical approaches used to teach introductory mathematical topics and algorithms in the US and abroad

Conference Session

FPD VIII: Crossing Bridges and Easing Transitions into the First Year

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jacqueline Q. Hodge, Texas A&M University; Margaret Hobson, Texas A&M University; Bugrahan Yalvac, Texas A&M University; Magdalini Z Lagoudas, Texas A&M University; Jefferey E. Froyd, Texas A&M University; Natela Ostrovskaya, Texas A&M University; Tatiana Erukhimova, Texas A&M University, Department of Physics and Astronomy; Cesar O. Malave, Texas A&M University; William H Bassichis, Texas A&M University

Tagged Divisions

First-Year Programs

AC 2011-913: UNDERGRADUATE ACADEMIC EXPERIENCE FOR FIRST-YEAR ENGINEERING STUDENTS THROUGH A SUMMER BRIDGE PRO-GRAMJacqueline Q. Hodge, Texas A&M University Jacqueline Hodge is a native of Giddings, Texas and currently the Project Manager for the Engineering Student Services & Academic Programs Office (ESSAP) at Texas A&M University (TAMU). In her cur- rent position, Jacqueline is responsible for Retention and Enrichment Programs for engineering students. Jacqueline graduated from TAMU with a Bachelors of Science degree in Mechanical Engineering. While obtaining her degree, Jacqueline was involved with several community service activities such as the Boys & Girls Club of Bryan, Help One Student To

Conference Session

A Potpourri of Innovations in Physics

Collection

2003 Annual Conference

Authors

Radian Belu

 ✂✁☎✄✆✄✆✝✟✞✡✠☞☛✍✌✏✎✏✑✓✒ ✔✖✕✘✗✚✙✜✛✣✢✥✤✧✦✩★✣✛✫✪✭✬✮✢✥✙✯✬✱✰✆✲✳✕✘✙✜✛✧✗✴✤✣✢✵✙✯✬✶✗✴✤✧✷✸✕✺✹✵✕✘✙✼✻✾✽✓✿❀✲❁✗✚✦❀✤✧✕✂✻✓✢✵✙✯✬✡❂❄❃❅✪❇❆✧✬✾✢✥✤✧✦✳❈❉✤✣✢❊✻✮✕ ✷❋✢❊●❍✕✘✽✓✕✺✤✧✙✯✕■✻✾✕✘✙✡✛✣✤✣✢✥❏✭❆✧✕✱✢✥✤✧✬☎✻✮✕✺✗✚✷❑✿☞▲▼✬☎✻✮✗✴✤✧✷✣✗✚✽✓✷✸✙✯✗✴✹✥✙✘❆✣✹✥❆✧✬✂◆ ❖◗✓❘ ✝ ✠❚❙❱❯✚❲❍✁☎❳❩❨ ❬❪❭❴❫❵❫❜❛❞❝❡❛✫❭❡❢✼❣✐❤❥❝❴❦❧❤❥❛❞❛❞♠♥❦❧❤❥❝❥♦q♣▼rtsq❤❥❛✧✉q✈✵r✆✈❊❛✭✇❀❤☎❦❜①❡❛❞♠✥②✵❦❜✈③s❡♦ ④ ❛❞✈❊♠✵❭❴❦❜✈❞♦✮⑤✖❦❧⑥♥⑦⑧❦❜❝❴r❡❤✓♦⑧✇✫✉q

Collection

2013 EDI

Authors

University of Wisconsin-Stoutq  Founded  (1891)  q  Malcolm  Baldrige  Award  (2001)  q  UW  System  Polytechnic  designaBon  (2007)     q  Career  focus   q  Applied  learning   q  Collabora3on    q  Colleges  reorganized  (2008)    q  45  undergraduate/23  graduate  degree  programs  q  Over  11,000  students  q  780+  students  in  500+  co-­‐op  sites  q  97.9%  graduate  employment  rate       Discovery Center: UW-Stout’s Gateway to Applied Research and Technical Assistanceq  Launched  (2009)  with  endowment  support  to:     q  Advance  applied  research,  innova3on  and   interdisciplinary  collabora3on   q  Solve  industry  challenges  through  contract

Conference Session

Programming for Engineering Students

Collection

2006 Annual Conference & Exposition

Authors

John Lusth, University of Arkansas

Tagged Divisions

Computers in Education

 ✂✁☎✄✆✄✞✝✠✟☛✡✌☞✍✄✏✎ ✑✒✡✌✓✕✔✖✝✗✄✘✡✚✙✂✡✛✁ ✜✣✢✤✁✥✎✒✢✧✦✩★ ★ ✪☞ ✄✫✎ ✜✣✢✤✁✭✬✮✝✠✟☛✡✚✙✰✯ ✱ ✓✕✔✆☞✲✁✴✳✶✵✷✦✸✙✛✝✗✔ ✜✹✢✺✁✸✬✤✝✠✟☛✡✚✙✼✻✽✁☎✢✿✾❀✦❁✡❂✦ ✑✒✌✡ ✢❃✓✞✟☛✡✌✓✆✢✺✝❄✙ ❇❅ ❆✌❈❊❉❂❋●❅●❍■❉ ❏✼❑✪▲◆▼❖▼✒▲◆◗❑❘▲◆▼❖❙❯❚❲❱❨❳❩❊❬✭▲✽❭✗❪❫❬❵❴❜❛❯❝❘❊❬❵❪✘❳❞◗❬❵❡❜❝✫❝❢❱✽❣❫❚❞❤❥✐❇▲◆▼❖❙❯❴❜❬❵❝✪❣☎❦❧❑✪❳❩❝❘❜❑❘❝✫❑✪▲◆❴❯❣♠❪❫❝❘❪✘❳❞❪ ❱♥❚❲❱✽❑♣♦❥▲❨❭q❑✪▲◆❯❯❝✪❑✪❬❵❳❞▲◆srt❝✍❬✈✉❇❝✪❝❘①✇◆❳③②◆❝✪④❙❯❣❫▲◆✇◆❣❵❱❨▼✒▼❖❳❩❯✇✕❙❯❣♠▲⑥⑤❫❝✪❑✪❬♠❪⑦❱✽❜❛s❬♠❡❯❝✖▲◆❴❜❬❵❪❫❳❩❛❯❝✏✉☛▲◆❣♠❚❞❛✤⑧④⑨❁❭⑩❬♠❝❘✤❶❬❵❡❜❳❩❪❷❑❘❱✽❯❯▲✽❬☎r❸❝✏❡❯❝✪❚❩❙❸❝❘❛❹❪♠❳❞❯❑❘❝✏❪❺❬❵❴❯❛❯❝✪❊❬❵❪✒❱❨❬✘❬❵❡❻❱⑥❬✘❚❩❝✍②◆❝❘❚✠❛❜▲✷❯▲✽❬✘❤◆❝✍❬❖❡❻❱❢②◆❝✞❱✷❛❯❝❘❝✪❙s❝✪❯▲◆❴❯✇✽❡❼❴❯❜❛❯❝❘❣❾❽ ❪❫❬❵❱✽❯❛❯❳❞❯✇❖▲◆❣✠✉❿❳❩❛❯❝✭❝❘❯▲✽❴❯✇◆❡✕❝✲➀❧❙t❝✪❣♠❳❩❝✪❯❑❘❝✸❬❵▲✒r❯❴❯❳❞❚❩❛✖❪♠▲◆❙❜❡❯❳❩❪❺❬❵❳❩❑❘❱❨❬❵❝✪❛✆❪❺❤➁❪❫❬❵❝✪▼✒❪✪⑧✠➂✠❡➃❴❯❪❘❶❸❳❩❯❪❺❬❵❣❫❴❯❑✪❬♠▲◆❣♠❪✗▲✽❭⑩❬❵❝✪ ❑❘▲✽❯❑❘❝✪➃❬♠❣❵❱❨❬♠❝❷▲◆✆❑❘❣♠❳③❬❵❳❞❑❢❱✽❚✺❳③❬❵❝❘▼❖❪✗❑❘▲◆▼❖▼✒▲✽✞❬♠▲⑦▼✒❱✽❊❤✕❱❨❙❯❙❯❚❩❳❞❑❢❱❨❬♠❳❩▲◆❜❪❘❶❻❚❩❝❘❱❢②❧❳❞❯✇✒❱✽❪♠❪❫❳❩✇◆❯▼❖❝❘❊❬♠❪✰❬❵❡❯❱❨❬❁❪❫❝❘❝❘▼ ❪♠▲✽▼✒❝✍✉❿❡❻❱❨❬✫❛❜❳❩❪♠❑✪▲◆❯❯❝✪❑✪❬♠❝❘❛✤⑧➅➄✰❜❭➆▲✽❣❫❬❵❴❜❻❱❨❬❵❝✪❚❞❤✽❶❇❬❵❡❯❝✞②◆❝✪❣❫❤❼❚❲❱✽❑♣♦➇▲✽❭❁❴❯❯❛❯❝✪❣♠❪❫❬❵❱✽❯❛❯❳❞❯✇❥r❊❤s❪❫❬♠❴❯❛❯❝❘❊❬♠❪⑦❬❵❡❻❱⑥❬ ❙❯❣❫▲◆▼✒❙❧❬❵❝❘❛✖❪❫❴❯❑♣❡✕❱❨r

Collection

1999 Annual Conference

Authors

Cherian P. Mathews; Adrianne Candia; Waleed Kader

6HVVLRQ '63 , PSOHPHQWDWLRQ RI DQ $PSOLWXGH 0 RGXODWLRQ 7 U DQVPLVVLRQ 6\VWHP $ &DSVWRQH 'HVLJQ $SSU RDFK &KHU LDQ 3 0 DWKHZV $GU LDQQH &DQGLD :DOHHG .DGHU 8QLYHU VLW\ RI :HVW )ORU LGD *XOI 3 RZHU &RPSDQ\ 8QLYHU VLW\ RI )ORU LGD$ E VWUD F W$ OO V W X G H Q W V LQ W K H ( OH F W U LF D O ( Q J LQ H H U LQ J 3 U R J U D P D W W K H 8 Q LYH U V LW \ R I : H V W )OR U LG D 8 : )D U H U H TX LU H G W R X Q G H U W D NH D F D S V W R Q H G H V

Conference Session

Electrical and Computer Engineering

Collection

2003 Annual Conference

Authors

Stan Harris

. Page 8.1101.3“Proceedings of the 2003 American Society of Engineering Education Annual Conference &Exposition Copyright © 2003, American Society for Engineering Education”This approach was employed using on a paper-and-pencil exams (and, more recently, quizzes)for many years.Some experimentation in the fall 2002 semester yielded the following quiz and final examadministration approach: (Quiz[zes] and exam[s] are henceforth referred to as Q/E.) • Q/E are composed in the same manner in which they have been composed for years using Microsoft Word software, but with directions suitable for electronic Q/E completion and submission. • Q/E are submitted to Blackboard’s digital dropbox of each student. (Q/E submission to

Collection

2008 ASEE Midwest Section Conference

Authors

Shirley Pomeranz

the discretization error as afunction of the grid length9. However, it will be proved in this paper that, even if suchinformation is not available, under quite general conditions Richardson extrapolation willimprove the accuracy of the numerical result (or, at the very least, maintain the accuracy).The following material is a brief description of Richardson extrapolation. Let q denote anunknown exact quantity that is desired. Let q1 and q 2 denote numerical approximations to qthat are computed using the same formula (and at the same grid point) but with different,sufficiently small positive grid spacings, h1 and h2 , respectively. If the dominant term in thediscretization error is proportional to h p , for some positive number p , then we

Conference Session

Electrical and Computer Engineering

Collection

2003 Annual Conference

Authors

Radian Belu

 ✂✁☎✄✆✄✆✝✟✞✡✠☞☛✍✌✏✎✒✑✔✓ ✕✗✖✙✘✛✚✢✜✤✣✦✥★✧✪✩✬✫✭✖✤✥✯✮✱✰ ✥✦✲✭✳✂✮✴✳✡✧✶✵✸✷✹✥✻✺☎✳✔✚✽✼✶✖✾✧✏✳✂✿✪✥✻✣❀✧❁✩❂✲✾✳❄❃❅✩❇❆❈✜❉✮✴✥★✧❁✩✴✫✭✖❋❊●✫✭✿❍✕■✖✤✥✯✮✬❏❑✺✏✩✴✺ ✫▲❊✛▼✛✫❖◆✳✔✿■◗❘✿✪✥✯✖✤✺✏✩✴✳✂✖✾✧✏✺❙✥✯✖✤✚❚❃❅❯✤✫▲✿✏✧❱✵❲◗✩✴❆❄✳❨❳❩✩✴✺✶✧✪✜✤✿❭❬✤✥✯✖✤✣✦✳✔✺❀❪ ❫❵❴✪❛❖❜❝❴✪❞■❡❣❢✻❤❥✐❱❦♠❧♦♥q♣▲rts✈✉①✇②❜♠❞④③⑤❴✪❞✂⑥⑦✐❱❴✏⑧⑨♣♦⑩❶❦❷✐❹❸✦❴✪❞✂❛✔❺✸❧❻❫❣❢♦❤❥✐❱❦❷❧✂❼①♣❖❴✪❞✂❛■❽▲❧✂⑥❹❜❷❴✪❞❍r❥❜❝s✦⑥⑦❴✏❾ ❿➁➀✯➂★➃✆➄➅➄➇➆q➈➉➆❑➃➉➊❀➋❖➌❹➈✆➍➅➌❹➆q➆q➎✴➍➏➌❹➈❹➐⑦➑✍➒●➓⑦➌❹➆✤➔❲→✬➒①→❂➆❅➣✭➌✶➍➅↔➉➆q➎✴↕✬➍➇→♠➓➉➐❱➙✾➆q→❂➎✬➃✆➍➇→q➐☎➛❘➍➅➜✴➝❱➍➇➈✆➒➉➌❘➞❉➟✆➀♦➙✾➆q➠❱➒①➎✴→✬➡❉➆●➌⑨→▲➃➉➊➂★➃✆➡✢➠❱➢❹→❂➆q➎✾➔⑦➜q➍➅➆●➌✶➜➤➆☞➒➉➌✶➥❘➞✤➦✆➀♦➙✾➆q

Collection

2000 Annual Conference

Authors

Mohammad H. Alimi; Howard B. Wilson

one period and areconsumed during a subsequent period. Special cases of this problem include mortgage financingas well as pension saving.Mathematical FormulationInvestment capital Q growing due to a saving rate S (t ) while simultaneously earning acontinuously compounded, after-tax, rate of investment return R satisfies the differentialequationQ’(t ) = RQ (t ) + S (t ), Q(0) = q 0 .The general solution of this equation for constant R is tQ(t ) = e [q0 + ∫ e − Rt S (t )dt ] Rt 0Inflation usually exists in real situations so it is desirable to think in terms of inflation adjustedcapital defined by q (t ) = Q(t )e − Itwhere I is the annual inflation rate. When I is zero, then q simply reduces to Q

Conference Session

First-year Programs Division Technical Session 8: Project-based Learning and Cornerstone Courses

Collection

2015 ASEE Annual Conference & Exposition

Authors

Robert H. Caverly, Villanova University; Randy Weinstein, Villanova University; James C. O'Brien, Villanova University; Seri Park, Villanova University; Edward Stephen Char Jr., Villanova University; John Komlos, Villanova University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

safety, and sustainable infrastructure.Mr. Edward Stephen Char Jr., Villanova University BS EE Villanova University 1996 MS EE Villanova University 1998Dr. John Komlos, Villanova University Page 26.27.1 c American Society for Engineering Education, 2015   ✁✂✄☎ ✁✂✆✄✝☎ ✁✂✞✟✂✠☎✠✡ ☛✠ ☞ ✌✄✂✍☎✎✡✏✑☞✝☎✒ ✓☛✄✝✡✏✔☎☞✄ ✕✠✖☛✠☎☎✄☛✠✖ ✗✘✙✚✛✜✚✢✣✚✤ ✥✦✚✛✦✜✚✧ ★✢✩ ✪✫✫✚✫✫✬✚✢✭✮✯✰✱✲✳✴✱✵✶✷✷✸✹✺✻✸ ✼✹✶✻✽✾✿✶❀❁ ✽❂❃✸✾❄✽❅ ✺✹ ✸ ✹✽❆ ❇✾✺❈✽❉❀❊❃✸✿✽❅ ✸❇❇✾✺✸❉❋ ●✺✾ ❀❋✽ ✾✽❍■✶✾✽❅ ●✶✾✿❀❊❁✽✸✾ ✽✹❏✶✹✽✽✾✶✹❏❑▲▼❑◆❖❑◗❑ ❖ ❘❙❙❚❯ ❱❲❖❳ ❑❨ ❩❖◆❳❱❬❭❑❪◆ ❑▲▼❑◆❖❑◗❑ ❨❪❳ ◆❑▼❫◆❱❑❴ ❖ ❱❲❑ ❘❙❵❙ ❛❜❝❝ ❛❞❪❡ ❢❫❩❑◆❑◗❑❣❤✐❥❦❦❧♠♥♦♣q rs❦ t

Conference Session

Electrical and Computer Division Technical Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Wenbing Zhao, Cleveland State University; Xiongyi Liu, Cleveland State University; Chaomin Luo, University of Detroit Mercy; Xiong Luo, University of Science and Technology, Beijing, and Beijing Key Laboratory of Knowledge Engineering for Materials Science

Tagged Divisions

Electrical and Computer

the homework assignments, for each TGO, only the conceptnames are given and students are asked to elaborate them in their own words as part of thehomework. This would force them to learn the concepts and gain the ability to recite/paraphrasethem. We decided to omit the quotes and writing assignment about innovators. We do notperceive that they will enhance student learning. n Objective __: Understand how the time-to-live field in the IPv4 header is used n Important concepts/knowledge (please elaborate each) q Size of the TTL field (hence, max and min value of the TTL value) q How the TTL field is updated q What happens when TTL drops to 0 q Objective of

Conference Session

EM Skills and Concepts in the Real World

Collection

2003 Annual Conference

Authors

Neslihan Alp

Session 2003-2140 Roadblocks in the Six-Sigma Process Neslihan Alp, Ph.D. and Mike Yaworsky University of Tennessee at ChattanoogaAbstractSix-Sigma is a quality improvement program used by many major companies with varying degreesof success. This paper shows the Process Map for the Six-Sigma Process and identifies the mostdifficult steps. A survey is conducted to collect data from several companies to develop the Six-Sigma Process Map and determine the most critical steps. The results show that the followingsteps are the most difficult steps throughout the whole process: q Develop project

Conference Session

Innovations in Solid Mechanics

Collection

2012 ASEE Annual Conference & Exposition

Authors

Peter Wolfsteiner, Munich University of Applied Sciences

Tagged Divisions

Mechanics

elementsimproves the quality of approximation to the real behavior. However in this simple formthe model is sufficient to demonstrate a couple of typical tasks relevant to the operationwith Multibody problems. The following sections explain the derivation of the equations ofmotion. Because of its compact theoretical formulation section 2.1 starts with the Lagrangeequation of second kind, section 2.2 demonstrates the more relevant procedure with theNewton-Euler equations.2.1 Lagrange equation of second kindFor the derivation of equations of motion this section uses the Lagrange equation of secondkind with the vector of minimal coordinates q = (ϕ1 , ϕ2 , ϕ3 )T , the kinetic energy T , thepotential energy V and the vector of generalized forces u

Conference Session

Software Engineering Course Content

Collection

2008 Annual Conference & Exposition

Authors

Salamah Salamah, Embry-Riddle Aeronautical University, Daytona Beach; Ann Gates, University Of Texas - El Paso

Tagged Divisions

Software Engineering Constituent Committee

AC 2008-448: TEACHING BLACK-BOX TESTING TECHNIQUES THROUGHSPECIFICATION PATTERNSSalamah Salamah, Embry-Riddle Aeronautical University, Daytona BeachAnn Gates, University Of Texas - El Paso Page 13.1149.1© American Society for Engineering Education, 2008 Using Specification Patterns to Teach Black-Box Testing Ann Q. Gates Computer Science Dept., University of Texas at El Paso. Salamah Salamah Computer and Software Engineering Dept., Embry-Riddle Aeronautical University. Abstract Software verification is one of the most

Conference Session

Aerospace Division Technical Session: Student Success

Collection

2022 ASEE Annual Conference & Exposition

Authors

M. Javed Khan, Tuskegee University; Chadia A. Aji, Tuskegee University

correctly to only 6 of the 20 questions. Statisticallysignificant differences (p < 0.05) were observed between engineering and non-engineeringstudents on Q#1, Q#2, Q#4, Q#6, Q#7, Q#8, Q#10, Q#12, Q#19. Of these questions withstatistically significant differences, a higher percentage of engineering students respondingcorrectly to Q#1, Q#2, Q#4, Q#6 and Q#7. Interestingly, questions Q#2 and Q#6 pertain toambiguous social interactions which were correctly answered by more than 50% of theengineering students while less than 40% non-engineering students answered these questionscorrectly. And, a higher percentage of the non-engineering students responded correctly toquestions Q#8, Q#10, Q#19 of which two questions (Q#8, Q#10) pertain to social

Conference Session

Integrating Math into Engineering

Collection

2004 Annual Conference

Authors

Legand Burge; John Kaplan; Kathleen Kaplan; Moses Garuba

beginning statement true and all statements along the path are executed, then the assertion at the end of the path is true. 4. If all paths in simulation are proven by induction, the model is proved to be correct.7. Introducing Mathematical Induction to M&S Engineering StudentsIn M&S, students should be utilizing probability distributions, such as the binomial, exponential,and beta, to name three. Proving probability distributions with mathematical induction is anatural introduction to the Formal V&V technique.For example, let the engineering student prove by induction on n that the binomial distribution: n b(k ; n, p ) =   p k q n−k , k = 0K

Collection

2018 ASEE Zone IV Conference

Authors

Dennis Derickson, California Polytechnic State University, San Luis Obispo

thiscontribution provides many of the learning outcomes possible with VSA/VSG equipment withadditional insights at the hardware level that might not be evident using SDRs.The laboratory exercise in this contribution centers on having students build IQmodulators/demodulators that can be used to demonstrate digital communication links. Therequired construction parts include semi-rigid coaxial cable, surface mount frequency mixers,and surface mount resistors that cost $10. A pre-lab handout and introductory laboratory lectureillustrate how IQ modulators are used to generate arbitrary digital modulation constellations inthe I-Q plane. An example completed IQ modulator is shown to students demonstrating thebasics of high frequency signal routing with short

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Colin Michael Burdine, Baylor University (Student)

The Wasserstein Distance LikelihoodThe Wasserstein metric, or “Earth Mover’s Distance” (EMD) has been shown to be a robust metric that providesan intuitive notion of distance between probability distributions. Physically it can be interpreted as the minimalamount of “work” required to transform one “pile of dirt” into another, where “work” is defined as an amountof mass moved times the distance itRis moved. Suppose R we have two piles of dirt given by the functions p(x) andq(x) defined on some set X , where X p(x) dx = X q(x) dx > 0, then we could devise any number of strategiesby which we could transform the mass under the curve of p(x) into that of q(x). Let Γ(p, q) denote the space

Conference Session

Computed Simulation and Animation

Collection

2006 Annual Conference & Exposition

Authors

Ramiro Bravo, Tri-State University

Tagged Divisions

Computers in Education

needed.The conservation of mass applied to two nodes such as A and B provides two equations. Qa = Q1 +Q2 (1) Q1 = Qb + Q3 (2)The conservation of energy applied to the loop A, B, and C provides the third one. h1 + h3 = h2 (3)In this equation, h1, h2, and h3 are the head losses in each pipe.This system of equations cannot be easily solved since the expression for the head losses h asfunction of Q is very complicated. The head loss is given by L V2 h= f

Conference Session

Issues in Digital Signal Processing

Collection

2005 Annual Conference

Authors

Thad Welch; Robert Kubichek

, “Communications Measurement Laboratory.” This new course was designed to reinforce student knowledge of their course work in signals and systems, digital and analog communication systems, and digital signal processing. The primary course objectives were to familiarize students with vector signal analysis and develop a thorough understanding of I and Q-based demodulation techniques. This paper provides an overview of this course and describes student projects that utilize a vector signal analyzer (VSA) to detect, localize, and record decimated I and Q data as would be available at the output of an intermediate frequency (IF) analog-to-digital converter (ADC) stage of a software defined radio (SDR).1 IntroductionThe

Conference Session

Develop Course / Materials / Topics for a Global Engineering Education

Collection

2009 Annual Conference & Exposition

Authors

Alireza Rahrooh, University of Central Florida; Scott Shepard, University of Central Florida; Walter Buchanan, Texas A&M University

Tagged Divisions

International

of the manipulator from measurements of the inputs and outputs (jointpositions, velocities, and accelerations) and calibrates adaptively the model in the controller.II. Problem StatementThe matrix-vector formulation of the closed-form dynamic model for a robot with N joint axes1 Page 14.161.2is: D(q, λ) q&& + h ( q, q& , λ) = F(t) (1)In (1), q(t), q& (t), and q&& (t) are the joint position, velocity and acceleration vectors; λ is thevector of dynamics parameters; D(q, λ) is the inertial matrix; h ( q, q& , λ) is the coupling vectorthat incorporates the

Collection

2001 Annual Conference

Authors

Bahman Motlagh; Walter Buchanan; Alireza Rahrooh

Copyright  2001, American Society for Engineering EducationThe matrix-vector formulation of the closed-form dynamic model for a robot with N joint axes1is: D(q, ϕ) q&& + h( q, q&, ϕ) = F(t) (1)In (1), q(t), q& (t), and q&& (t) are the joint position, velocity and acceleration vectors; ϕ is thevector of dynamics parameters; D(q, ϕ) is the inertial matrix; h( q, q&, ϕ) is the coupling vectorthat incorporates the centrifugal, Coriolis, gravitational, and frictional force/torque vectors; andF(t) is the vector of actuating (motor) joint forces/torques.The structured closed-form dynamic robot model in (1) provides physical insight into thenonlinear system and is thus very

Conference Session

ASEE Multimedia Session

Collection

2002 Annual Conference

Authors

William Pierson; Michael Robinson; Betsy Dulin

researchand economic development initiatives, the ATI is committed to promoting educational outreachefforts in mathematics, science, engineering, and technology. The ATI grant was provided to Page 7.598.3help fulfill this educational outreach commitment. All sponsors were recognized for there Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright ã 2002, American Society for Engineering Educationsupport throughout the Academy, with organizational logos appearing on promotional materialsand the Academy website.Detailed expenses for the 2001 Academy were: q Food and housing

Conference Session

Improving Mechanics of Materials

Collection

2005 Annual Conference

Authors

Ali Mohammadzadeh

difficulty to visualize and understand. The objective ofthis paper is to help students to understand and reinforce their comprehension of thesefundamental concepts of solid mechanics by introducing them to the 3 different approachesoutlined and discussed here.An L-shaped high strength aluminum beam, E = 10.4E6 psi, cantilevered at one end and subjectto a concentrated load P at the free end (Figure 1) is used to teach these 3 fundamental concepts. S Z Y α Q X Strain gage rosette L

Collection

1996 Annual Conference

Authors

James A. Newell

followingexperimental analysis techniques:1. The elimination of “bad” data using the statistical q-test.2. The determination of 95% confidence intervals from standard deviations using the statistical t-tables. Homework Problem #l An inventor claims that he can increase the tensile strength of a polymeric fiber by adding a small quantityof the rare element toughenitupneum during spinning, To prove her claim she provides data obtained by testingsamples with and without her addition. The six samples tested without the addition had tensile strengths of 3100,2577,2715,2925,3250, and 2888 GPa, respectively. Six samples tested with the added element has strengthsof 3725, 3090, 3334, 3616, 3102, 3441 GPa. Has the

Collection

2001 Annual Conference

Authors

Nathan Chao; Bernard Mohr

experiments and support courseware may be seen and down loadedat www.mission-technology.com.The essential components of this version of the IIL system are: q Computer controlled bench-top instruments (Hewlett Packard) consisting of a digital multimeter, oscilloscope, signal generator and power supply; q Interactive Web-based lab experiments; q Web-based instrument controls; q Subject tutorials; q A custom Web browser (WebLAB) that tightly integrates all of the above hardware and software.With NSF support, 6 sets of computer-controlled bench-top instruments at $6,500 per setup wereinstalled as shown below

Conference Session

Thermodynamics, Fluid Mechanics

Collection

2005 Annual Conference

Authors

B.K. Hodge

(1) γ 2g  D  gwith f the friction factor and K and CfT the minor losses [3]. Conservation of mass appears as Q = QA = QB (2)In Equation (1), expressions for the friction factor and fully-rough friction factor are needed. Inintroductory fluid mechanics courses, the Moody diagram [2] is often used to present thefunctional dependence of friction factor, f, on the Reynolds number, Re D = ρVD µ , and therelative roughness, ε D . However, the Moody diagram is unhandy for computer-basedsolutions, and a closed-form expression is desired. In the laminar regime, the usual expression[2] is