University-Industry Collaborations: Agilent’s Agilent s Perspective 2012 Engineering Deans Institute/Kauai Roger Stancliff CTO, Component Test Division Agilent Technologies, Inc.Page 1A Brief History of Agilent• 1939: Hewlett-Packard Hewlett Packard Company formed with the encouragement of Dr. Terman• 1999: Agilent split from HP• 2005: Strategic alignment: Phase I: focused measurement company• 2006: Launched “Phase II”: profitable, sustainable growth - initiated a global program for university research• 2011: Net revenue = $6.6 billion; employees = 19,000Page 2 Agilent Technologies Addressing critical measurement challenges
Foundational Mission Assurance DoD S&T Thrusts Foundations of TrustEmerging Technologies Symposium02/21/2012 Page-13 DoD internal/external engagement Services and Agencies Industry and Academia • DoD Priority Steering • Key Elements of PSC S&T Committees Roadmap shapes: – Membership
Identified During Idea GenerationStrategy Description I. Reduce usage To reduce the usage of any energy-consuming device(s). This could be using the devices less often, turning them to a lower power setting, offering fewer devices, or reducing the amount a device needs to be used without changing its efficiency. Solutions ranged from turning off half of the lights to using personal fans instead of AC. II. Increase To replace current energy-consuming devices with those that will be similarly effective but efficiency use less energy. Common examples include replacing incandescent light bulbs with energy- efficient bulbs such as CFL or LED
, South Africa, May, 2007):2344-2357. 2. Watson, G., Gallagher, K. (2005). “Managing for Results”. 2nd ed. London: Chartered Institute of Personnel and Development. 3. Schaffner, S., R. (2010). “An Examination of Communication Skills in Construction: Their Significance to Leadership”. Master of Science Thesis, Purdue University, West Lafayette, IN 4. Hoezen, M., Reymen, I., Dewulf, G. (2006). “The Problem of Communication in Construction.” (paper presented at the CIB W96 Adaptables Conference, Eindhoven, Netherlands, July 3-5, 2006). 5. Dainty, A., Moore, D., and Murray, M. (2006). Communication in Construction; Theory and Practice. London & New York: Taylor and Francis, 2006. 6. Eilenberg, I. (2002
Protoboard Type Specification Type Specification Value ELVIS II Board Channels 2 EE Board 4 ELVIS II Board Resolution 16 bit DAC EE Board 14 bit DAC 1 channel: 2.8 MS/s ELVIS II Board Sample rate both channels: 2.0 MS/s EE Board 40 MS/s ELVIS II Board Overdrive protection
comprised of two primary systems, a mobile vehicle and remote controlstation. Each system is further broken down into subordinate systems.1. Mobile Vehicle Page 25.397.4The mobile vehicle is a tracked vehicle running a number of sensors and sensor systems toaccomplish the primary task of locating the desired item(s), moving to the item(s) location,providing verification methods of the item(s), and transmitting the item’(s) location back to thecontrol station. a. Drive SystemThe drive system is broken down into two identical halves, one for the port side and one for thestarboard side. Each side operates completely independently of the other
Models of Construction Productivity,” Journal of Construction Engineering and Management, ASCE, 112(2), 245-258.3. Gates, M. and A. Scarpa, (1972), “Learning and Experience Curves,” Journal of the Construction Division, ASCE, 98(CO1), 79-101.4. Parker, H. W. and C. H. Oglesby, (1972), Methods Improvement for Construction Managers, McGraw-Hill, New York, NY. Page 25.1422.105. Diekmann, J. R., D. l> Horn, and M. H. O’Connor (1982), “Utilization of Learning Curves in Damage for Delay Claims,” Project Management Quarterly, Dec., 67-71.6. Everett, J. G. and S. Farghal, (1994), “Learning Curve Predictors for
decrease and hencerotor current and rotor frequency will decrease. Less rotor-current results in a lesser rotorelectromagnetic field. It is therefore impossible, for the rotor to rotate at the speed of the rotatingstator field. Slip is defined as the difference between the rotor speed and stator field speed, andis called synchronous speed. S = (NS - NR ) / NS (11) f r = S*f s = S*f (12) T = K*φ* IR* Cos (θR) (13) P.F.= Cos (θR) = tan-1 ( (f* S*Lr)/Rr) (14)Figure 8 displays the torque-speed characteristic curve of a typical Squirrel Cage Induction
guided discovery approach posits that any subject can be taught effectively in someintellectually honest form to any child at any stage of development. A constructivist approach tolearning and teaching is based on the notion that learners construct their own knowledge ratherthan knowledge being transferred into learners‟ brains.8-10 Learners‟ construction of knowledgeis based on their past knowledge, the timeliness of new knowledge, and the learner‟s ability tounderstand the connections. This process forces learners to either modify existing knowledge ordevelop new knowledge. Learning experiences based on constructivism are reflected in popularinstructional strategies such as inquiry based learning11-12, problem based learning (PBL) 13-14
Technology (ETEC), with at least 50 sustainingenrollments of 200+ students in fall 2010 according to ASEE data. On the other hand, since the1980’s only about 14 institutions have created master’s degrees in ETEC. Some M.S. programshave evolved from Master of Science in Technology (M.S.T.) or Master of Technology (M.T.)versions. One fundamental question posed in the debate is whether ETEC curricula rise to thenecessary scientific rigor of traditional M.S. degrees. This paper asserts that the M.S. in ETECshould stand on equal footing with M.S. programs in any other field and particularly inengineering when viewed from the perspective of (i) the scientific level of graduate ETECcourses; (ii) the roles that ETEC graduates perform in the engineering
. The Behavior latent variable is defined by the DISC instrument as a measurement model,where the four manifest variables Dominance (D), Influence (I), Steadiness (S), and Compliance(C) are depicted in Figure 3 [18] [19]. D I BEHAVIOR S C Figure 3. Hypothesized KEEN-TTI DISC Measurement ModelIn a similar fashion the Motivation and Skills latent variables are described by specific manifestvariables derived from TTI questionnaire items. The Motivation latent model is described by sixmanifest variables: Theoretical (TH), Aesthetic (AE
Research We reviewed a total of 13 studies for the second component of our critical analysis.First, we reviewed classic retention studies by Astin 4,29 and Tinto 30, which have been frequentlycited as germinal research linking the construct of social engagement to college student retentionand/or academic success. Nora et al.’s study6 was reviewed as an example of more recentempirical investigations using an extensive national dataset. Next, we analyzed 10 empiricalstudies that examined relationships between peer-oriented social engagement and measures ofcollege student adjustment/persistence (e.g., retention, GPA, other persistence measures) inengineering education. We specified four criteria for the inclusion of a study in our review: a
has always been believed that if there is a “fit”between the learner‟s preferred teaching style and method of instruction, the outcome wouldbe happier and more academically successful learners, although research often fails to sustainthis theory6 . As observed from the reviewed literature, one of the main problems inassociating the magnitude of data to successful learning is that knowledge is augmenting at anexponential rate7, 5. If teaching concentrates merely on content and opportunities to developmeta-cognitive strategies are limited, alumni will experience significant difficulty keeping up-to-date with their respective disciplines5. Whilst joining in with the debate, Kolb8 saw learningas a cyclical process comprising of a series of
graduation rate, assuming continuous enrollment).Ohland et. al. [4] present an extensive analysis of retention measures and studenteducational experiences at the undergraduate level. This paper uses the large, multi-institution dataset MIDFIELD (Multiple-Institution Database for InvestigatingEngineering Longitudinal Development) which contains records of over 75,000 studentsin engineering during the years of 1988 through 1998. Ohland and his colleagues [4, 7]determined that eight-semester persistence is highly predictive of six-year graduationrates. But, using eight-semester persistence can underreport the persistence of women tograduation. In general, it is shown that paths of persistence are nonlinear, gendered andracialized, so that it‟s
onReflections. Some quotes on the personal impact of filling in Meta Reflection on Reflections areshown below. Some quotes include:Wrap-up on Points of Interest: Across a semester what was the impact of Interest Points on your attitude & interest?"Relating things to my daily life helps me to retain info better"Wrap-up on Muddiest Points:Did your responses to Muddiest Points help you identify your issues on content andconcepts?"The muddiest point helped me realize what I may not be aware of"Did discussing Muddy Point(s) at the start of next class help your understanding (or not)?"Questions other people asked helped because, many times they were questions I didn't think toask"Wrap-up on Learning Points: Did your responses on Learning Points help you
and Medium-sized Enterprises (SMEs) face different barriers to implement sustainablepractices. Some of the major barriers were consolidated by Natarajan & Wyrick (2011)6. The Page 25.579.3major barriers were finance, lack of expertise, lack of information, and company culture.Similarly there were factors that motivated firms towards better environmental practices. Themajor motivators were legislation, owner(s) perspective, customer demands, and internal drive.SMEs struggle with understanding environmental sustainability due to the lack of people withsustainability education in their organization. In addition an owner or a group of owners
time. The technologies included in the broader definition also follow the commonpatterns of adoption and diffusion. Page 25.746.2A technology forecast includes the study of historic data to identify one of several commontechnology diffusion or substitution trends. Patterns to be identified include constant percentagerates of change (so-called “Moore‟s Laws”), logistic growth, logistic substitution, performanceenvelopes, lead/lag (precursor) relationships, anthropological invariants and other phenomena.QTF projections have proven accurate in predicting technological and social change in thousandsof applications as diverse as consumer electronics
Page 25.1251.7delivery and teaching pedagogy. Evaluation results show positive learning experiences.Future work includes more pilot-testing in biomedical engineering courses.AcknowledgmentPartial support for this work was provided by the National Science Foundation's Course,Curriculum, and Laboratory Improvement (CCLI) program under Award No. 0837584. Anyopinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Y. Guo, S. Zhang, H. Man, and A. Ritter, “A Case Study on Pill-Sized Robot in Gastro-Intestinal Tract to Teach Robot Programming and Navigation”, Proceedings of ASEE Annual Conference and
GC 2012-5643: DESIGN EDUCATIONS FOR STUDENTS AT MECHANI-CAL ENGINEERINGHaeseong J. Jee, Hongik University Haeseong J. Jee, Professor, Hongik University B. S. in Mechanical Engineering, Seoul Nat’l University in Korea Ph. D. in Mechanical Engineering, MIT NIST in Gaithersburg, Maryland Professor, Department of Mechanical Engineering, Hongik University in Korea Page 17.14.1 c American Society for Engineering Education, 2012DESIGN EDUCATIONS FOR STUDENTS AT MECHANICALENGINEERINGHaeseong J. Jee, Professor, Hongik UniversityB. S. in Mechanical Engineering, Seoul Nat‟l University in Korea Ph. D. in
components: a) body functions and structures and b) activities andparticipations. Body functions and structures are useful from biomechanical perspective ofproduct design. However, for the description of user activities related to a consumer product, thecomponent activities and participation seems appropriate. Sangelkar has detailed the structuralorganization of ICF as applicable to universal design 10.The ICF uses an alphanumeric system of classification. The letters b, s, d, and e are used toexpress the body functions, body structures, activities and participation, and environmentalfactors, respectively. The letter is followed by a numeric code; first digit of which is the chapter
paper.Bibliography1. Fuentes, A. A., Crown, S., Freeman, R., Vasquez, H., Villalobos, C., Gonzalez, M., and Ramirez, O., “IncreasingStudent Access, Retention, and Graduation Through and Integrated STEM Pathways Support Initiative for the RioSouth Texas Region”, Proceedings of the 2009 ASEE Annual Conference & Exposition, Austin, Texas, June 14-17(2009).2. Freeman, R., Fuentes, A., Vasquez, H., Crown, S., Villalobos, C., Wrinkle, R., Ramirez, O., and Gonzalez, M.,“Increasing Student Access, Retention, and Graduation Through an Integrated STEM Pathways Support Initiativefor the Rio South Texas Region – Year One Activities and Results”, ASEE Annual Conference, Louisville,Kentucky, 2010.3. Crown, S., Fuentes, A., and Freeman, R., “A Successful Plan for
. 10 The curriculum incubator was developed as a protected space and time for faculty toexplore and adapt approaches to teaching and learning. Because the concept of curriculumincubation is new there is little research or theory to guide development of the incubator oranticipate its effectiveness. Since educational improvement is an institutional commitment withoutcomes demonstrated over a long period of time, it is important to determine whether theconcept of curriculum incubation has merit, the potential to produce innovative instructionaldesigns and long-term educational improvement.Incubation Theory The idea of incubation as a protected environment for nurturing change began in the1950’s with the invention of business
) ( (b)Figure 3.. The Robotiics-I course student s interrests in a) Roobotics, and b) A career in Roboticsbefore annd after this classThe studeents also rateed the Robotics-I activitties that increeased their robotics r undeerstanding and ainterests,, engineering g interests ass well as theiir improved skills, as shoown in Fig. 4-a-b, whereeteamworkk and engineeering designn skills, andd BEST robotics competiition along with w middle-highschool mentoring m greeatly benefittted the
PortfolioGoals for AFOSR to strengthen the Air Force basic researchprogram as defined in AF S&T Strategic Plan: • Provide scientific leadership for the AF basic research enterprise • Attract the Nation’s/World’s best S&Es to contribute to and lead AF/DoD research • Ensure the coherence and balance of the AF basic research portfolio • Foster connections between AFRL researchers and the National/International basic research community • Maximize the discovery potential of the defense research business environment Focus on the Future AF with the ultimate goal to make Today’s AF and Tomorrow’s AF Obsolete! 7 Shaping the
, 361-367 (1995).4 Walden, S. E. & Foor, C. "What's to Keep You from Dropping Out?''Student Immigration into and within Engineering. Journal of Engineering Education 97, 191-205 (2008).5 Shivy, V. A. & Sullivan, T. N. Engineering Students' Perceptions of Engineering Specialties. Journal of Vocational Behavior 67, 87-101 (2005).6 Brown, D. in A Cognitive Information Processing Approach to Career Problem Solving and Decision Making (eds Gary W. Peterson, James P. Sampson, Janet G. Lenz, & Robert C. Reardon) (John Wiley & Sons, Inc., 2002).7 McLennan, N. A. & Arthur, N. Applying the Cognitive Information Processing Approach to Career Problem Solving and Decision Making to
Page 25.475.6 existing systemIn addition to individual quality scores, we calculated an overall innovation score, which was thefifth root of the product of each category score. This method retained the 1-5 scale and rewardedconsistent ideas (e.g. an idea that scored all 3’s is more innovative than an idea that scored two1’s and two 5’s). Once scoring was complete, we calculated the mean (out of five) and standarddeviation in each category and for overall innovativeness.ResultsStudents identified 26 unique solutions to the design problem. Among these, automatic lighting,energy-efficient lighting, and renewable energy devices (including solar panels, piezo-electricflooring, windmills, and river turbines) were the most
, Page 25.100.2students need to have an advisor from their respective program. The elements emphasized andadopted to promote project evaluation practices include periodic review of journal/log bookentries, presentations, periodic milestone reports, at least weekly meetings with the advisor(s),and the final design report.IntroductionDue to its culminating nature, the senior design project course is probably the most significantexperience of the undergraduate engineering students (1). In the process the students apply whatthey have learned in their undergraduate course work; develop their communication,interpersonal, project management, and design skills; and learn about the product developmentprocess. Students also get an understanding of the
problematic. Since most people domake a living by working, does this mean that everyone is a professional? And if everyone is aprofessional, then why bother to use the term? Seeing everyone as a professional actually has theeffect of demeaning the true professional, who has sacrificed considerable time and money toacquire expertise in a field that s/he has made a lifelong commitment to.Professionalism according to the LiteratureThe literature defining professionalism is rich, varied, and contradictory, constituting a body ofknowledge in itself. A brief tour of selected books and articles reveals a definition ofprofessionalism that counters the popular notion, one that for many students is foreign territory.While sociologist E. C. Hughes (1958) argues
AC 2012-5516: PROMOTING STEM FACULTY MEMBERS’ REFLECTIONON THEIR LEARNING PERCEPTIONS AND TEACHING PRACTICESSusan ShadleDr. Louis Nadelson, Boise State University Louis S. Nadelson is an Associate Professor in the College of Education at Boise State University. His research interests include STEM teaching and learning, faculty development, in-service and pre-service teacher professional development, program evaluation, and multidisciplinary research. He has published research ranging from faculty professional development to the impact of inquiry on STEM learning. Nadelson earned a B.S. degree in biological and physics science from Colorado State University, a B.A. with concentrations in computing, mathematics, and
persistence rates, CMICH is on the low end: 27% versus the range of 30% to 91% citedabove. With respect to technology programs, CMICH is most similar to Purdue (64%) and PSU(30%). However, with respect to size, ASU (74%) or PSU Surveying (76%) seems moreappropriate. In this sense, the lessons presented here fill a gap in the persistence literatureespecially in terms of young engineering programs.3. MethodsData were collected for six years in two forms: transcript information and brief in-class surveys.The six years correspond to twelve semesters: six fall semesters and six spring semesters. Here,a semester is referred as the academic year with a “F” or “S” for fall or spring; e.g., the lastsemester examined was the spring of the 2010-2011 year, or