) s + b s 2 + ( AK P ) s + A K I If r(t) is sinusoidal: r (t ) = P sin(ω t ) ; then the response is be given by: y (t ) = Q sin(ω t − φ ) , where Q is the response magnitude, and N is the phase angle of theresponse with respect to the input. Well-known standard analysis techniques areavailable6 for predicting the magnitude and phase angle of the response for a system withthe transfer function in Equation 6, assuming a sinusoidal input. Once the MuSU students built the system, testing was done remotely fromPaducah. A web cam was directed at the piston extension so that the UK students couldsee the actual motion, in real time, resulting from command inputs. Command inputswere entered in Paducah by accessing the Allen-Bradley
) energy consumedRespiration also contributes significantly to the thermal regulation system of the body. Inspiredair is warmed from ambient temperature to body temperature prior to being exhaled. In addition,water evaporates from the wet alveolar membranes to saturate the air in the lungs prior toexpiration. The humid exhaled air removes heat from the body in the form of latent heat ofvaporization. The rate of cooling (q, kcal/min) achieved through the process of respiration is: ( ) ( q = mair C p air T out − T in + ∆H vap , w mwout − mwin ) (4)In Equation 5, m is the molar flowrate (mol/min), Cp is the molar heat capacity (kcal/mol K
disciplines.ReferencesASAE, 1990. Undergraduate biological engineering curriculum. Report of the Academic Page 7.727.10Program Administrators Committee of ASA, August 1990. Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright 2002, American Society for Engineering EducationWang, N., N. Zhang, J. Wei, D. Oard, and Q. Stoll. 2001. Potentials and Limitations of anOptical Weed Sensor. ASAE Paper No. 011066, American Society of AgriculturalEngineers. St Joseph, MI.Wei, J., N. Zhang, N. Wang, D. Oard, Q. Stoll, D. Lenhert, M. Neilsen, M. Mizuno, andG. Singh. 2001. Design of an embedded weed
” Figure 19: AMSSB-SC AM ModulationVI. ConclusionThe author has used this MATLAB facility to develop many laboratory exercises for thefollowing courses at Hudson Valley Community College: q 1930 – Introduction to Telecommunications. o AM Generation o AM Detection o FM Generation o AM Detection o FM Transmitter o Sinc Filter o And others q 1931 – Data Communication. o Quadrature Amplitude Modulation and Demodulation o Pulse Code Modulation (PCM) o Phase Shift Keying Modulation (FSK) Techniques o Bit-error Rate Simulation o Communication System Simulation
equipments must be used. Direction finding equipments can be divided in two classes : q Ground-based direction-finders Airborne direction-finders Page 7.1239.7 q Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright @ 2002, American Society for Engineering EducationThe most commonly used equipment is the VOR (Very high frequency omni-directional range) andthe ADF (Automatic Direction Finder).The VHF Omnidirectional Range (VOR)The VOR operates between 108 and 118 MHz with an increment of 100 KHz. The ground stationemits an omni-directional
follow. After designing the product for an entrepreneur, theMLC made two rapid prototype casings. Later, 20 metal prototypes were made on a millingmachine. Sears is currently marketing this product.6.2 Major Products/ Production Systems DevelopedBelow is a sampling of the work that AMI has performed as part of this program. The work canbe grouped into three categories; piece parts, simple assemblies, and complex assemblies.Major Products Developed: Piece Parts · Farrar Cluster Gear · Disk Doktor · Gable Speedlead · Enlow Golf Grips · Heatron Job-Shop Work · Longford Job-Shop Work · Emporia Machine Tool Job-Shop Work · Aero-Mod Job-Shop WorkMajor Products Developed: Simple Assemblies · Q-Kaddy · Gable Speedlead · Inside Corner
Exchange in Different Areas of Emmelene Lee/U. H. Wei/ Bohai Sea Penn., Bio. Eng. Qingdao The Effect of Sewage Discharge to the Adam Klein/ Illinois, X. Zhai/ Inter-tidal Ecosystem Civil & Env. Eng. Qingdao Noise Data in the Inverse Analysis of Cristina Rhodes/Staten H. Yang/ Viscoelasticity Is. Coll., Bio. Infor. Dalian In-situ Ice Data Collection in Liao Dong Ti-Jay Erikson/ Q. Yue/ Bay using Computer Networks Clarkson, Comp. Sc. Dalian Dynamic Ice Force on
291 Time (s) Figure 5. Leak Test for Flow Position and Flush Position Page 7.419.9 Table 1. Experimental Results Valve Open Position Trial 1 Time (s) Time (min) Weight (g) Volume (l) Volume (Gal) Flow Rate (Q) Cv Gal/min 1 7 0.1167 490.8
have an effective reaction to the oil spillcontingency. References1. W. Gong-xing, Z. Jin, W. Lei and Q. Zai-bai, "Design of the Intelligence Motion Control System for the High- Speed USV," 2009 Second International Conference on Intelligent Computation Technology and Automation, 2009, pp. 50-53, doi: 10.1109/ICICTA.2009.480.2. G. Wu, H. Sun, J. Zou and L. Wan, "The basic motion control strategy for the water-jet-propelled USV," 2009 International Conference on Mechatronics and Automation, 2009, pp. 611-616, doi: 10.1109/ICMA.2009.5245049.3. Jiang Zhao, Weisheng Yan, Jian Gao and Shuwei Shi, "Design and implementation of the control system for unmanned surface vehicle
13References[1] L. Wang, Q. Liu and S. Shen, "Effects of void-crack interac�on and void distribu�n on crack propaga�on in single crystal silicon," Engineering Fracture Mechanics, vol. 146, pp. 56-66, 2015.[2] M. Pushkareva, J. Adrien, E. Maire, J. Seguardo, J. Llorca and A. Weck, "Three-dimensional inves�ga�on of grain orienta�on effects on void growth in commercially pure �tanium," Materials Science and Engineering: A, vol. 671, pp. 221-232, 2016.[3] M. Pushkareva, F. Sket, J. Segurado, J. Llorca, M. Yandouzi and A. Weck, "Effect of grain orienta�on and local strains on void growth and coalescence in �tanium," Materials Science and Engineering: A, vol. 760, pp. 258-266, 2019.[4] T. Yao, Z. Deng, K. Zhang and S. Li, "A method to predict
feasible, bring industry folks to your classroom to present and do Q & A; always leave time for Q & A. Ensure the industry person describes their path to where they are.”The leadership mindset carries to a classroom and reflects one’s ability to inspire the nextgeneration of leaders. A good academic leader should set high values and standards for studentsto aspire to. One leader argued: “Leadership mindset in a group-based task; Excellence, wisdom and inclusiveness.”Lastly, a fundamental quality of a leader is the willingness to listen. This quality translates wellto a classroom. Listening and responding to student questions can open the room up for morediscussions and flow of ideas
midterm assessments have been conducted to monitor the students’ progress andperformance, followed by an immediate adjustment of the instructor’s intervention as needed.For example, from the tests, class discussion, and midterm exam, students in CS405demonstrated weaker understanding on some concepts and skills such as using arithmeticexpressions and selection statements in shell scripts and vi editor in supercomputer environment.The instructor added in-class lab times to reinforce the related concepts and office hours afterclass for Q&A. In addition, the data on student project completion rate, exit survey and finalexam were collected to evaluate and assess the outcomes of the adopted pedagogies. The pilotstudy results are presented in the
Non-Learning Deep Learning New concepts and cross links XI Absent - - - - -The statistical analysis presented in the following section is for the purpose of visualizing trends,only. The results may not be representative of a larger study group. Future work will includerepetition and validation. Figure 5 shows probability density functions for the mind map scoresassuming that the mind map scores can be represented by a theoretical normal distribution. Themind map score is a positive value. Both Q-Q tests and Chi-tests indicate that the (limited) datasets can be represented by either a normal or lognormal distribution. The addition of data fromfuture semesters will be used to
. Reviewers were offered a comment box area where theycould elaborate on why they decided on specific scores for each question.Table 1. Working version of Communication Task Rubric distributed to reviewers Q. # General Specific details for question Description 1. Overall design • “Big picture” of robot design project is shown. project and goals • Problems to be solved are provided. identified. 2. Purpose / task of • Robot’s specific goals / tasks to be accomplished are identified. the robot provided.• Precise tasks to perform are clearly described. Proceedings of the 2024 ASEE North Central Section Conference Copyright @2024
4 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering EducationThe rest of the variables used in the analysis of the steering geometry are presented in Figure 2, acomplete diagram of steering components and their associated geometry. Where: x = steering arm length y = tie rod length p = rack casing length q = lateral travel of rack d = distance between front axis and rack center axis β = Ackerman angleNote: the point of intersection of the two extrapolated steering arm lines must lie on the rear axleto constitute Ackerman steering.Using the variables defined in Figure 2, the following three
instructed to calculate the system average hydraulic detention time using experimentallydetermined/measured values for the reactor liquid volume, V, and the volumetric flow rate, Q,passing through the system. Parameters V and Q would necessarily be expressed in consistentand compatible units. Differences between the two calculated average detention time valuescould then be used as the focal point for an error analysis.The same basic sensor and overflow system can be used to examine other, more complexexperimental systems with the possible intent of comparing actual and theoretical system tracerresponses, determining the system dispersion number, or estimating the extent of dead volumepresent in a system. The continuous flow system consisting of four
, and Persistence in the Physical Sciences, Technology, Engineering, and Mathematics (pSTEM),” Psychol. Women Q., vol. 41, no. 4, pp. 420–436, Dec. 2017, doi: 10.1177/0361684317720186.[10] “Academic Belonging | Teaching + Learning Lab.” Accessed: Feb. 02, 2024. [Online]. Available: https://tll.mit.edu/teaching-resources/inclusive-classroom/academic-belonging/[11] M. L. Pedler, R. Willis, and J. E. Nieuwoudt, “A sense of belonging at university: student retention, motivation and enjoyment,” J. Furth. High. Educ., vol. 46, no. 3, pp. 397–408, Mar. 2022, doi: 10.1080/0309877X.2021.1955844.[12] A. Gowing, “Peer-peer relationships: A key factor in enhancing school connectedness and belonging,” Educ. Child Psychol., vol. 36
. Through the lunch, students became acquainted with their discipline-specific facultymentors. These faculty mentors consist of one representative from each engineering disciplinewho eventually would become the SSP students’ academic advisors and have regular check-inswith their students. The lunches offered a casual, non-threatening environment to help buildconnections between students and their mentors. Faculty mentors utilized the lunches to provideshort Q&A sessions with the group describing their discipline along with academic andprofessional opportunities.Throughout the year, social events were planned to provide students with an opportunity to relaxand connect with each other and the grant team. A winter quarter kick-off party was held
Emotional support; peer mentoring and support for Building professional, professional growth social, and cultural capitals Organization Loose and aperiodical Default structure is informal; formal activities are channeled through assigned representatives Shared - Spontaneous Q&A Frequent discussions on Practices and information WhatsApp group, peer sharing in the chat
has a unique character. In our project, researchers in CalPoly and PKU are involved in these activities. Communication between faculty advisors andstudents on all sides is important to the success of this project. We also hold annual meeting forthe collaboration to exchange ideas both on research and culture.AcknowledgementThis project is currently supported by 1) NSF Grant OSIE Award #1029135 from year 2010 to2013 2) Chinese National Key Research Lab Collaboration Grant 2011, 2012, Peking Universityin China.Reference 1. J. Q. Xi, H. Luo, A. J. Pasquale, J. K. Kim, E. F. Schubert, “Enhanced Light Extraction in GaInN Light- Emitting Diode with Pyramid Reflector,” IEEE Phot. Tech. Lett., vol. 18, pp. 2347-2349, 2006. 2. S. Trieu
Horizontal PlateProceedings of the 2005 Midwest Section Conference of the American Society for Engineering Education 6Data Reduction 1. A heat balance on the center plate, with no heat generation, yields: − qOUT = q ACC (1) 2. The plate is cooled by free convection and radiation as follows: qOUT = qCONV + qRAD = hAS (TSURFACE − T∞ ) + εσAS (TSURFACE − T∞4 ) 4
B) Output Power POutput = Q * p where Q is flow and p is the head POutput = 0.0000225 m3/s*6.55kPa*1000 Pa/kPa = 0.147W C) Efficiency Efficiency = POutput / PInput * 100% . Efficiency = *100% = 22.3% . These results are presented in Table 5 for impeller speeds from 2010 to 3510 rpm.C. Determination of System Curve and
FPGA.AcknowledgementThis work was supported by the Chesapeake Information Based Aeronautics Consortium (CIBAC) atMorgan State University.Reference1 S.D. Young, S. Kakarlapudi, and M. Uijt de Young, “A Shadow Detection and Extraction Algorithm Using Digital Elevation models and X-bandWeather Radar Measurements”, Int. J. Remote Sensing, 26(8): 1531-1549, 2005.2 Sonka Milan, Image Processing Analysis, and Machine Vision, 1999, California: Brooks/Cole Publishing Company3 Field Programmable Gate Array, http://en.wikipedia.org/wiki/FPGA (Accessed 7/22/2009)4 What is VHDL?http://74.125.47.132/search?q=cache:MlxxUJ50YEJ:www.doulos.com/knowhow/vhdl_designers_guide/what_is_vhdl/+what+is+VHDL%3F&cd=1&hl=en&ct=clnk&gl=us
node and its contents areinitialized to the indicated values; the trace uses the symbol ADDR0 to represent the new node's address.Thus the value of ADDR0->word is "memory," and the left and right pointers at that location are bothNULL. In addition, ADDR0 is assigned to pnew. When insert is called, root is the actual parametercorresponding to reference parameter q. The statement labeled (1) causes both to be set to ADDR0, sothat root now points to this new node. The "before" and "after" representations of the tree are,respectively, above and below the trace.A second trace shows how the insertion routine can insert an element into its alphabetical position in anon-empty tree. In the following, the root word is "computer"; its right child is
calculate impacts. Due to its flexibility inprogramming applications, and its ability to handle large matrices of data, we chose Matlab to perform thecalculations of downwind plume concentrations. We chose ESRI’s ArcMap 9.1 for visualization andanalysis. We created the custom application so that students would be able to use it without previousexperience with either program.Calculating Downwind Concentrations - MatlabThe algorithm employed in the Matlab application calculated downwind, ground level concentrationsusing the Gaussian plume equation (Cooper and Alley, pg 612)1: ⎛ y2 ⎞ ⎧ ⎛ ( z − H )2 ⎞ ⎛ ( z + H )2 ⎞⎫ C= Q exp
moderately enhanced their understanding of materials processing. Additionally, as seen inFig 2, majority of students (53.8%) reported feeling positively influenced to some extent by theindustry presentations in terms of their engagement and interest in the course material. A substantialportion of the class (42.3%) indicated that the presentations had a significant positive impact on theirengagement and interest. The impact was also evident through verbal as well as written studentfeedback, one of which read “I learned a lot in a little time about what the companies do”. Figure 2: Survey results to Q2- if industry presentations influenced student engagement and interest in the course material?In response to Q.3, 50% of students acknowledged that
," Journal of Engineering Education, vol. 110, no. 3, pp. 585-601, 2021.[3] M. Prensky, "Digital natives, digital immigrants part 1," On the Horizon, vol. 9, no. 5, pp. 1-6, 2001.[4] D.H. Smith IV, Q. Hao, C. D. Hundhausen, F. Jagodzinski, J. Myers-Dean, and K. Jaeger, "Towards modeling student engagement with interactive computing textbooks: An empirical study," in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021, pp. 914-920.[5] A. T. Bates, G. Poole, and T. Bates, Effective teaching with technology in higher education: Foundations for success. Jossey-Bass, 2017.[6] J. L. Jensen, T. A. Kummer, and P. D. d. M. Godoy, "Improvements from a flipped classroom may simply be the fruits of
.[23] Gao, Q., Zhang, X., and Anshel, M. (2008). Introduction to Geometric Intronization as a SecurityTechnique. International Journal of Computer Science and Network Security, 8(12): 19-25.[24] Doig, A. (1997). Improving the Efficiency of the Genetic Code by Varying the Codon Length-ThePerfect Genetic Code. Journal of Theoretical Biology, 188 (3): 355-360. 6Appendix : Natural Genetic Code Amino Acid Acronym RNA Codons Ratio Gly G GGU, GGC, GGA, GGG 4 Ala A GCU, GCC, GCA, GCG 4 Pro P CCU, CCC, CCA, CCG
-82.[4] F. Monrose, M.K. Reiter, Q. Li and S. Wetzel. Cryptographic key generation from voice. Proc. of the 2001 IEEESymposium on Security and Privacy, May 2001.[5] F. Monrose, M. K. Reiter, Q. Li, D. P. Lopresti, and C. Shih. Toward speech-generated cryptographic keys onresource constrained devices. Pro.c of 11th USENIX Security Symposium, 2002, pp. 283-296.[6] F. Hao and C. Chan. Private key generation from on-line handwritten signatures. Information Management &Computer Security, 10(2), 2003, pp. 159-164. 6[7]A. Goh and D. Ngo. Computation of cryptographic keys from face biometrics. Lecture Notes in ComputerScience, 2828, 2003, pp. 1
solar cellsFig. 2 is the equivalent circuit of a simplified single-diode model (SSDM) of PV cells. Thecurrent through a PV cell is given by; v iRs i i ph isat e t 1 v (1) AkT vt T (2) q Proceedings of the 2011 PSW