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Conference Session
Engineering and Public Policy Division Technical Session 1: In the Classroom
Collection
2014 ASEE Annual Conference & Exposition
Authors
Murray Teitell, DeVry University, Long Beach; William S. Sullivan, DeVry University, Long Beach
Tagged Divisions
Engineering and Public Policy
account allows student engineers andtechnologists to make better selections of the best designs in terms of performance,cost, and return on investment for new product situations in their future careers.14-15References1. Smith Kevin B. and Larimer, Christopher W. (2009). The Public Policy Theory Primer. Philadelphia: Westview Press.2. Halimahtun, M. K. (2006). Embracing diversity in user needs for affective design. Applied Ergonomics, 37(4), 409-418. http://dx.doi.org/10.1016/ j.apergo.2006.04.0053. Mihelcic, J. R., Crittenden, J. C., Small, M. J., Shonnard, D. R., Zhang, Q., Chen, H., . . . Schnoor, J. L. (2003). Sustainability science and engineering: the emergence of a new metadiscipline. Environ. Sci Technol., 37(23), 5314
Collection
2014 ASEE Zone 1 Conference
Authors
Suleman Belal Kazi; Sherjeel Sikander; Sadia Yousafzai; Suleman Mazhar
initiative, and are grateful to the participants who no.10, 2006, pp. 277-284.volunteered to test the fall detection algorithm. [15] Q. Li et al., "Accurate, fast fall detection using gyroscopes and accelerometer-derived posture information", In Wearable and REFERENCES Implantable Body Sensor Networks, 6th Int. Workshop, 2009, pp. 138-143. [1] World Health Organization, “Ageing, and Life CourseUnit”, WHO global report on falls prevention in older age, 2008.[2] B.H. Alexander, F.P. Rivara, and M.E. Wolf, “The
Collection
2014 ASEE Zone 1 Conference
Authors
Sundas Zafar; Aparicio Carranza
] public_ip = os.system('wget http://ipecho.net/plain ­o ­ ­q > possible to direct the images to be saved onto test.txt; echo')a USB. The proper path of the file the images public_ip = open('test.txt', 'r').read()are being stored in just has to be written next msg_content = 'Alarm detected. Public ip is %s:8081, local ip is  %s' % (public_ip,local_ip)to target_dir. msg = MIMEText(msg_content) The main algorithm for the email msg['Subject'] = 'Raspberry Pi Alarm on %s' % today msg['From'] = gmail_usernotifications is that since a picture is taken msg['To'] = towhenever
Conference Session
Emerging Computing and Information Technologies
Collection
2014 ASEE Annual Conference & Exposition
Authors
Raymond A. Hansen, Purdue University; Tomasz Wiktor Wlodarczyk, University of Stavanger; Thomas J. Hacker, Purdue University, West Lafayette
Tagged Divisions
Computing & Information Technology
: O’Reilly Page 24.30.11 Media.3. A. Sathi (2013). Big Data Analytics: Disruptive technologies for changing the game. Boise, ID: MCPress Online, LLC.4. V. Granville (2014). Developing analytic talent: Becoming a data scientist. New York, NY: John Wiley & Sons.5. “Stanford University Explore Courses.” [Online]. Available: http://explorecourses.stanford.edu/search?view=catalog&filter-coursestatus- Active=on&page=0&catalog=&academicYear=&q=OIT+367&collapse=. [Accessed: 09-Aug-2013]6. “CS9223 - Massive Data Analysis.” [Online]. Available: http://vgc.poly.edu/~juliana
Conference Session
Sustainability and Hands-on Engineering Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
Andrew Ross Pfluger P.E., U.S. Military Academy; Philip J. Dacunto, Department of Geography and Environmental Engineering, United States Military Academy; Michael Hendricks, United States Military Academy
Tagged Divisions
Environmental Engineering
many random, turbulent eddies. These random fluctuations willdisperse the pollutant away from the plume centerline, resulting in a normal or Gaussiandistribution of concentrations in both the vertical (z) and crosswind (y) directions. Assuming aconstant wind in the x direction, a non-reacting pollutant, and total reflection from the ground,the concentration of pollutants downwind at any point x, y, and z can be predicted with thefollowing equation:4 Q  y2    z  H 2    z  H 2  C exp   exp     exp    2u y z  2 2   2 z2   2 z2
Conference Session
K-12 and Precollege Engineering Curriculum and Programming Resources, Part 2 of 2
Collection
2014 ASEE Annual Conference & Exposition
Authors
Brandon Gregory Morton, Drexel University ; Youngmoo Kim, Drexel University; Matthew Nester VanKouwenberg; Chris Lehmann, Science Leadership Academy; Jessica S. Ward, Drexel University
Tagged Divisions
K-12 & Pre-College Engineering
’. Students were asked to demonstrate this knowledge by asking themto transform the graphs given different criteria, such as a change in volume, which is associatedwith amplitude, or a change in pitch, which is related to frequency.RSA Algorithm ActivityIn this activity, one of the most commonly used algorithms for encryption was presented to thestudents. The RSA algorithm uses large prime numbers to encrypt information and is based onthe idea that it is difficult to factor a large number into two prime numbers. Students were firstshown a presentation where they were guided through an example of encrypting informationusing the algorithm. The steps involved in this are shown below and more details can be foundonline4.1. Find two prime numbers p and q
Conference Session
Use of Technology for Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
Richard Chiou, Drexel University ; Michael G Mauk P.E., Drexel University; Tzu-Liang Bill Tseng, University of Texas, El Paso; M. Eric Carr, Drexel University; Aurel Mathews
Tagged Divisions
Manufacturing
surface and advect heat away from the point of contact by its motion.Newton’s Law of Cooling provides a simple expression for this rate of convective heat transfer. Q = hA (Ts – Tf) (1)Where Q is the rate of heat convected in watts; Ts is the temperature of the solid in C°; Tf if thetemperature of the fluid in C°; A is the area of the surface in contact with the fluid in square meters;and h is the convective heat transfer coefficient in watts/ square meter-C°.Many factors affect convective heat transfer such as its geometry, type of flow, boundary conditions,type of fluid used and its properties. In this experiment, forced convection occurs when fluid flow,induced
Conference Session
Laboratory Applications of Computers
Collection
2014 ASEE Annual Conference & Exposition
Authors
Oluyemisi Oladayo Satope, iLabs OAU; Isaiah Oreoluwa Boboye, Obafemi Awolowo University; Olawale Babatunde Akinwale, Obafemi Awolowo University; Lawrence O. Kehinde, Obafemi Awolowo University; Olabode Idowu Asubiojo, Obafemi Awolowo University
Tagged Divisions
Computers in Education
................................................................................................ 2where q is the amount of heat that flowed m is the mass of the substance C is the specific heat capacity of the substance ΔT is the change in temperature of the substanceApparatus: Calorimeter, heater, digital scale, thermometerMaterial: Water, metal samples (with known specific heat capacities).Procedure: 1. The mass of the empty calorimeter is measured and recorded. 2. The calorimeter is filled about half way with water. 3. The mass of the half-filled calorimeter is measured and recorded. 4. The mass of the water in the calorimeter is now calculated. 5. The temperature of the water in the calorimeter is measured. 6. A metal sample is selected from the available samples 7. The mass of the
Conference Session
Assessment of Learning in ECE
Collection
2014 ASEE Annual Conference & Exposition
Authors
Alexander Ganago, University of Michigan; Sudarshan Sivaramakrishnan, University of Michigan; Robert Matthew DeMonbrun, University of Michigan
Tagged Divisions
Electrical and Computer
: course design and implementation . (2012) Global Journal for Engineering Education vol. 14, issue 116. Malik, Q., Mishra, P., Shanblatt, M. (2008) Identifying Learning Barriers for Non-major Engineering Students in Electrical Engineering Courses. Proceedings of the 2008 ASEE North Central Section Conference17. Malik, Q., Mishra, P., Shanblatt, M. (2010) Learning Barriers in service courses – A mixed-method study. 117th ASEE Annual Conference and Exposition,Louisville, KY, Jun 2010. Paper AC 2010-242818. Northrup, S. G. Innovative Lab Experiences for Introductory Electrical Engineering Students (2009). Paper M4H-1 presented at the 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX19. Fiesel, L. D
Conference Session
Student Learning, Problem Solving, & Critical Thinking 2
Collection
2014 ASEE Annual Conference & Exposition
Authors
Ben D Radhakrishnan, National University
Tagged Divisions
Educational Research and Methods
student will post the URL link in to the course home-page (Wibliography)and talk to the topic for 5 minutes followed by a brief Q&A session. The activity has a certaingrade allocation associated with it for class participation. Each student will identify the source andevent (or news), location, how it is tied to the current course and its importance. The student willalso discuss quantification as applicable to the subject matter being taught. Students are alsoexpected to interpret the news or event as they see it and give their opinion (positive or negative).As noted, this is an exercise in critical thinking and data synthesis (students can discuss otherrelated events). The instructor publishes a schedule for all students. The News of the
Conference Session
Improving Laboratory Education in Chemical Engineering
Collection
2014 ASEE Annual Conference & Exposition
Authors
Joshua A. Levinson, Lafayette College; Eric L. Maase, University of Massachusetts-Lowell; Glen Thomas Tennyson
Tagged Divisions
Chemical Engineering
G o o d n e s s o f F it : R - S q u a r e d = 0 . 8 3 , S S E = 7 . 6 0 5Figure 9: Typical open loop unsteady-state duplet test for height; first order plus dead timemodel used. Note that the response and model fit data appear in the upper portion of the plot,while the set point appears in the lower portion of the plot. Lo o p -P ro : D e s ig n T o o ls M o d e l: F ir s t O r d e r P lu s D e a d T im e ( F O P D T ) F ile N a m e : T e m p 3 _ L o o p _ P r o . t x t 37.8 P rocess V ariable
Conference Session
FPD 1: The Path to Engineering
Collection
2014 ASEE Annual Conference & Exposition
Authors
Shelley Lorimer, Grant MacEwan University; Jeffrey A. Davis, Grant MacEwan University
Tagged Divisions
First-Year Programs
0.85 0.83 0.86 0.89 0.0317 0.46 0.46 0.51 0.46 0.45 0.44 0.45 0.47 0.51 0.56 0.47 0.36 0.48 0.5 0.47 0.0518 0.26 0.32 0.42 0.31 0.27 0.25 0.24 0.25 0.3 0.32 0.27 0.26 0.31 0.24 0.29 0.0519 0.27 0.23 0.24 0.3 0.28 0.28 0.22 0.22 0.33 0.25 0.26 0.23 0.3 0.36 0.27 0.0420 0.26 0.28 0.29 0.23 0.3 0.19 0.15 0.3 0.31 0.21 0.26 0.3 0.19 0.27 0.25 0.05Table 3 - ENGINEERING ASSESSMENT Question Response Distribution Q 2013 2012 2011 2010 2009 2008 2007 AVE STDV 1 0.61 0.65 0.63 0.73 0.66 0.73 0.66 0.67 0.05 2 0.30 0.32 0.30 0.27 0.28 0.27 0.24 0.28 0.03 3 0.61 0.63 0.71 0.55 0.57 0.62 0.63 0.62 0.05 4
Conference Session
Assessment of Learning in ECE
Collection
2014 ASEE Annual Conference & Exposition
Authors
Mohammed Taqiuddin Taher, DeVry University, Addison; Ahmed S. Khan, DeVry University, DuPage
Tagged Divisions
Electrical and Computer
midterm test scores of students from Instructor B who used the hands-onapproach (only) with test scores of students (from Instructor A) who used simulation method(only). The criterion for statistical significance was set to alpha = .05. Two low score outlierswere identified in the midterm scores of the simulation group for Instructor A and these outlierswere changed to the nearest higher value within the group, (Outliers were not changed to themean scores to retain the scoring pattern of the students in the group assuming from the scoringpattern that the students were low scorers.) Examination of histograms, Q-Q plots, andKolmogorov-Smirnov test statistics indicated that the assumption of normality was met.Levene’s test indicated that the
Conference Session
Aerospace Division Technical Session 2
Collection
2014 ASEE Annual Conference & Exposition
Authors
Rajnish Sharma, University of Maryland, Eastern Shore; Abhijit Nagchaudhuri, University of Maryland, Eastern Shore
Tagged Divisions
Aerospace
obtained values of  and n .b) Find the state-space formulation of the third order system and evaluate the stability of the system. Justify the same for the second order system as obtained in part (i).c) For the third order system mentioned above, determine the optimal control law that minimizes the performance index, J as follows:  J   ( xT Qx   T R )dt with respect to some suitable choices of the matrices Q and R. Page 24.709.7 0Problem 3[Problem 15.2 REF. [4] Engineering Computations and Modeling in Simulink by Yakimenko] Fig. 2 SKETCH OF DYNAMICAL SYSTEM for PROBLEM 3d
Collection
2014 ASEE Zone 1 Conference
Authors
Anas Bushnag; Christian Bach
, IEEE/ACM[11] Ikeda, T., Hirabaru, M., Harai, H., & Kitamura, Y. (2009, 6-8 April Transactions on, 10(2), 169-182. doi: 10.1109/90.993299 2009). Impact of queue size at bottleneck point on TCP protocol over [27] Sameh, A., Wagh, S., & Salama, Q. (2010, 22-23 Sept. 2010). 10G-bps networks. Paper presented at the Testbeds and Research Dealing with Quality of Service in Hybrid Wired-Wireless Networks. Infrastructures for the Development of Networks & Communities and Paper presented at the Network Applications Protocols and Services Workshops, 2009. TridentCom 2009. 5th International Conference (NETAPPS), 2010 Second International Conference on
Collection
2014 ASEE Zone 1 Conference
Authors
Damien Laird; Jack Price; Ioannis A. Raptis
location denoted by (x, y) ∈ R2 to the target law, the time derivative of the selected Lyapunov function is:location (xt , yt ) ∈ R2 . In this work a similar approach to [21] V˙ = −Kρ cos2 α · ρ2 − Kα sin2 α < 0 (6)is adopted. The control problem is better treated if the robot’skinematic Cartesian equations are transformed into polar alike Therefore the equilibrium points (0, 2nπ) with n ∈ Z, becomecoordinates. Consider the state variables: asymptotically stable. At this point it should be noted that q when α = 2nπ then the heading of the robot is aligned with 2 2 ρ = (x − xt
Conference Session
Industrial Engineering Technical Session
Collection
2014 ASEE Annual Conference & Exposition
Authors
Matthew A Carr USN, U.S. Naval Academy
Tagged Divisions
Industrial Engineering
 gc 2 gc 2Establish SP1 on the upstream surface of the water and SP2 on the downstream surface. There isno heat added between the SPs, therefore Q 12  0 . The temperature of the water does notchange appreciably, so the internal energy (u) does not change, nor does the specific volume ofthe water (v). The pressure on both free surfaces is atmospheric pressure. Therefore the changein u (u) and flow work (pv) each cancel. Establish the reference elevation at the downstreamsurface (SP2). Therefore z2 = 0. There is a downstream velocity. Convert the 10 mph to 14.67ft/sec. Eliminating terms that either cancel or are negligible results in the following:  gz   V2 2
Collection
2014 ASEE Zone 1 Conference
Authors
May Alzawawi
not equipped with the needed [9] Q. Zhu and J. Sarkis, "Relationships between operationalknowledge to perfectly implement sustainable supply chain practices. practices and performance among early adopters of greenDenoting to a study done by AlZaabi, AlDhaheri& Diabat (2013), supply chain management practices in Chineselack of knowledge and information concerning the approach of manufacturing enterprises," Journal of Operationssustainability is one of the biggest barriers [41]. Management, vol. 22, pp. 265-289, 2004. [10] S. K. Srivastava, "Green supply-chain management
Conference Session
K-12 Engineering Resources: Best Practices in Curriculum Design, Part 1 of 2
Collection
2014 ASEE Annual Conference & Exposition
Authors
Sara Hahler, Louisiana Tech University; Krystal S. Corbett, Cyber Innovation Center
Tagged Divisions
K-12 & Pre-College Engineering
commercially developed high school mathematics curriculum forintense college mathematics coursework. Journal of Experimental Education, 80(1), 2012, pp.96-112.[3] Varsavksy, C. Chances of success in and engagement with mathematics for students whoenter university with a weak mathematics background. International Journal of MathematicalEducation in Science & Technology, 41(8), 2010, pp. 1037-1049.[4] National Center for Education Statistics (NCES). The condition of education 2004. Education Statistics Quarterly, 6(1/2). Washington, DC, 2004: Retrieved from http://nces.ed.gov/programs/quarterly/vol_6/1_2/7_1.asp[5] Aung, K., Underdown, R. Qian, Q. “K-12 Engineering Education:Priorities, Research.Themes, and Challenges,” Proceedings of theAmerican
Conference Session
Continuing Professional Development Division Technical Session 1
Collection
2014 ASEE Annual Conference & Exposition
Authors
David Reeping, Ohio Northern University; Kenneth Reid, Ohio Northern University; John K. Estell, Ohio Northern University
Tagged Divisions
Continuing Professional Development
" Activity Subject Q: "How can this activity apply to your class?" General Balancing lessons, covering appropriate amounts of information Counselor Stress release, Form of escape Fashion Keeping a balance in style, color scheme Language Grammar Lessons, keep a sentence balanced (e.g. make sure you have a subject and verb) Economics Analyze economical concepts, trade, pay scale Nursing Effects of medicine based on height, weight, etc. (finding the right combination of meds) Bartending Mixing drinks to keep the right balance of flavor.While not necessarily a STEM application in each subject, the teachers were able to
Conference Session
Simulations and Project-Based Learning II
Collection
2014 ASEE Annual Conference & Exposition
Authors
Ying Lin, Western Washington University; Ed Moran, Western Washington University; Jeremy Ruhland, Western Washington University
Tagged Divisions
Engineering Technology
11Fig. 4. Theoretical half-wavelength dipole antenna radiation pattern.proposed system might be a viable low-budget option for similar courses in EE and EET programsin other institutions to meet their instructional needs. R EFERENCES[1] D. G. Fang, Antenna Theory and Microstrip Antennas, CRC, 2009.[2] D. Geen and D. Smith, “Enhanced teaching of antenna theory and measurement techniques using a low cost anechoic measuring system,” in Proc. of the 25th European Microwave Conference, Bologna, Italy, September 4 1995, vol. 2.[3] H. Xie, Y. Liang, and Q. Wang, A laboratory measurement method of antenna radiation pattern, Springer, 2012.[4] V. Bhavsar, N. Blas, H. Nguyen, and A. Balandin
Conference Session
Miscellaneous Topics in Energy Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
David C. Zietlow, Bradley University
Tagged Divisions
Energy Conversion and Conservation
problems, heat transfer is either a given input or is a dependentvariable where the conservation rvation of energy is used to solve for this elusive quantity. In thissection, a basic understanding of heat exchangers (see Figure 3) is presented. A triangle is usedto represent one-side side of a heat exchanger. The hypotenuse of the triangle represents the heattransfer surface area while the sides allow for the entering and exiting of the heat transfer fluid. TL Q THFigure 3.. Schematic of a Heat ExchangerAssuming the students have already been exposed to the three modes of heat transfer and theircorresponding
Conference Session
Laboratory Experiences with Signal Processing and Controls
Collection
2014 ASEE Annual Conference & Exposition
Authors
Eric Constans, Rowan University; Mariaeugenia Salas Acosta; Krishan Kumar Bhatia, Rowan University; Hong Zhang, Rowan University; Jennifer Kadlowec, Rowan University
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
battery is calculated as: ܳ ܱܵ‫= ܥ‬ + ܱܵ‫ܥ‬଴ (9) ‫ܥ‬௕௔௧where Q is the amount of charge that has entered the battery, ‫ܥ‬௕௔௧ is the capacity of the battery(1.4Ah) and SOC0 is the previous state of charge. The amount of charge that has entered thebattery is: ܳ = න ݅௕௔௧ ݀‫ݐ‬ (10)where ݅௕௔௧ is the current flowing in or out of the battery, which is measured using a bidirectionalcurrent sensor (ACS711EX -15.5A to +15.5A). After SOC has been calculated, it is stored asSOC0 for the next time step. Note that SOC0
Conference Session
New ECE Courses
Collection
2014 ASEE Annual Conference & Exposition
Authors
Lin Zhao, Gannon University; Yuzhe Zhang, Gannon University; Jiawei Zhang, Gannon University
Tagged Divisions
Electrical and Computer
well received. These lab activities are still shy from beingexcellent. The authors hope to stimulate positive and productive discussion by sharing ourexperience and would like to hear the inputs and feedbacks from reviewers and conferenceattendees for further improvement.Bibliography [1]. https://www.google.com/search?q=renewable+energy+courses+in+usa&rlz=1C1CHFX_enUS520US520 &oq=renewable+energy+courses&aqs=chrome.1.69i57j0l5.10905j0j4&sourceid=chrome&espv=210&es _sm=122&ie=UTF-8 [2]. http://www.taylorandfrancis.com/ [3]. http://www.mheducation.com/ [4]. http://www.wiley.com/WileyCDA/ [5]. Leon Freris and David Infield, Renewable Energy in Power System, John Wiley &
Conference Session
K-12 Outreach and Out-of-School Time Engineering Programming and Research
Collection
2014 ASEE Annual Conference & Exposition
Authors
Erin Jablonski, Bucknell University; Margot A. Vigeant, Bucknell University
Tagged Divisions
K-12 & Pre-College Engineering
9 12 COLOR CODE KEY 2:45 All Campers Juniors MOVE IN 3:00 Seniors Rookies 3:15 CAMPUS TOUR 2 4 1 6 8 5 10 19 17 16 25 21 20 3:30 3:45 Q&A 4:00 4:15-4:304:30 - 5:30 DAILY RECREATIONAL ACTIVITIES dinner 7:30
Conference Session
New Trends in Computing and Information Technology Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
Tanya Stanko P.E., Innopolis University; Oksana Zhirosh, Unium
Tagged Divisions
Computing & Information Technology
] 4. De Pablos, Juan (2010). “Higher Education and the Knowledge Society. Information and Digital Competencies”, Information and Digital Competencies in Higher Education, Revista de Universidad y Sociedad del Conocimiento (RUSC). Vol. 7, No 2. 5. EAEA General Assembly (2003), “Definition and Selection of Competencies: Theoretical and Conceptual Foundations (DeSeCo): Strategy Paper on Key Competencies – An overarching frame of reverence for an assessment and research program “, [online] Available at: Page 24.534.9 http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&
Conference Session
Teaching Statics
Collection
2014 ASEE Annual Conference & Exposition
Authors
Devin R. Berg, University of Wisconsin - Stout
Tagged Divisions
Mechanics
classes. you could analyze the velocity at the top as the arm is lowered.#mech293 pic.twitter.com/xGdgldiOxc, December 2013. URL https://twitter.com/webbt0498/status/410563673304743936.[15] Olivia Trueblood. Solving the internal forces in a dome would be tricky! the roman’s figured it out though #mech293 pic.twitter.com/vTmoEiGzw3, October 2013. URL https://twitter.com/xtravgnoliveoil/statuses/395276149569253378.[16] Twitter / search - #mech293. URL https://twitter.com/search?q=%23mech293&f=realtime.[17] Laura McCullough. Science news and the science classroom. Journal of College Science Teaching, 36(3): 30–33, January 2006. ISSN 0047-231X
Conference Session
Professional Development and Advising for Graduate Students
Collection
2014 ASEE Annual Conference & Exposition
Authors
Katy Luchini-Colbry, Michigan State University; Theresa Lynn Gonzalez
Tagged Divisions
Graduate Studies
[Internet]. 2013 [cited 2014 Jan 3];8. Available from: http://ijds.org/Volume8/IJDSv8p061-081Vekkaila0402.pdf11. Austin AE. Preparing the Next Generation of Faculty: Graduate School as Socialization to the Academic Career. J High Educ. 2002;73(1):94–122.12. Peters R. Getting What You Came For: The Smart Student’s Guide to Earning an M.A. or a Ph.D. [Internet]. [cited 2013 Oct 17]. Available from: http://www.amazon.com/Getting-What-You-Came- Students/dp/0374524777/sr=8-1/qid=1157056744/ref=pd_bbs_1/102-2277722-0800123?ie=UTF8&s=books13. Waldeck JH, Orrego VO, Plax TG, Kearney P. Graduate student/faculty mentoring relationships: Who gets mentored, how it happens, and to what end. Commun Q. 1997;45(3):93–109.14
Conference Session
Curricular Issues in Computing and Information Technology Programs I
Collection
2014 ASEE Annual Conference & Exposition
Authors
David M. Whittinghill, Purdue University, West Lafayette; Jacob Samuel Brown, Purdue University
Tagged Divisions
Computing & Information Technology
, Y-J., Chou, L-D., Wang, F. T-Y., & Chen, S-F. (2011). A Kinect-based vocational task prompting system for individuals with cognitive impairments. Personal and Ubiquitous Computing, 17(2), 351–358.11. Clark, R. A., Pua, Y-H., Fortin, K., Ritchie C., Webster, K. E., Denehy, L., & Bryant, A. L. (2012). Validity of the Microsoft Kinect for assessment of postural control. Gait & Posture, 36(3), 372–377.12. Durstine, J. L., Painter, P., Franklin, B. A, Morgan, D., Pitetti, K. H., & Roberts, S. O. (2000). Physical activity for the chronically ill and disabled. Sports Medicine, 30(3), 207–219.13. Freitas, D. Q., Da Gama, A. E. F., Figueiredo, L., Chaves, T. M., Marques-Oliveira, D., Teichrieb, V., &
Conference Session
Improving Laboratory Education in Chemical Engineering
Collection
2014 ASEE Annual Conference & Exposition
Authors
Mary M. Staehle, Rowan University; Tom Merrill, Rowan University; Stephanie Farrell, Rowan University
Tagged Divisions
Chemical Engineering
efficient heat transfer. The rate of heat transfer is proportional to the exposed surfacearea (q=hAΔT), and skin contains a microcapillary network that substantially increasesthe exposed surface area for enhanced heat transfer. In this hands-on laboratory activity,students create artificial skin by encapsulating cotton candy in an elastomer. The cottoncandy is then dissolved away, leaving a networked path mimicking a microcapillarynetwork in skin.3.2 MaterialsThe following materials are required for this activity: a cotton candy machine (e.g. aNostalgia Electrics Cotton Candy maker, ~$50) modified with a rotational potentiometerplaced in series with the heating and rotational elements to vary the output temperatureand speeds; Jolly RanchersTM