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ASEE-NE 2022

Authors

Paul Benjamin Crilly, United States Coast Guard Academy; Julian Blanco, US Coast Guard Academy

Characteristics of Plasma Antennas,” IEEE Trans. On Plasma Science, vol. 32, pp. 269-281, 2004.5. I. Alexeff, T. Anderson, S. Parameswaran, E. Pradeep, “Experimental and Theoretical Results With Plasma Antennas,” IEEE Trans. On Plasma Science, vol. 34, pp. 166-172, 2006.6. J. Zhao, Y. Chen, Y. Sun, H. Wu, Y. Liu and Q. Yuan, “Plasma antennas driven by 5-20 kHz AC power supply, AIP Advances, vol. 5, https://dol.org/10/10.1063/1.4938084, 20157. I. Alexeff, T. Anderson , E. Farshi, N. Karnam, and N. Pulasani, “Recent results for plasma antennas,” Phys. Plasmas, vol. 15, https://doi.org/1010.1063/1.2919157, 20088. Silver, H., ed. 2011. The ARRL Antenna Book, 22nd ed. Section 4: Radio Propagation. Newington, CT American Radio Relay

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ASEE-NE 2022

Authors

Caressa Adalia Wakeman, University of Connecticut ; Amvrossios Bagtzoglou, University of Connecticut; Maria Chrysochoou, University of Connecticut

Tagged Topics

Diversity

(CC). The results of the statistical analysis are summarized in Table 4.Figure 1: Student perceptions of challenges for neurotypical and neurodivergent students as the courseprogresses. Graphs (a) and (c) show the distribution of challenges for all students from IRP, Q-1 and RP1, Q-1,respectively. Graphs (b) and (d) show the distribution of challenges for neurodiverse students from IRP, Q-1 andRP1, Q-1, respectively.Table 4: Proportions (%) of top 3 codes for student perception of challenges for neurotypical (NT) andneurodivergent (ND) students with course progression and p-value for hypothesis testing. A p-value in boldindicates statistical significance at 5% level. IRP RP1

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ASEE-NE 2022

Authors

Najmus Saqib, University of Indianapolis

Tagged Topics

Diversity

hosting a question-and-answer (Q&A) session withstudents without a set agenda. This approach usually leads to disastrously low classroomparticipation and classroom meetings ending awkwardly early. The author’s experience withthese is that students do not study prior to the review sessions, the instructor is not prepared withexample problems, and both parties waste valuable class time. Such Q&A-based review sessionsare usually ineffective because students do not know what questions to ask if they do not studyprior to the exam review and they do not know in which concepts they need help.BackgroundVisual learning is an important method for exploiting students' visual senses to enhance learningand engage their interest. Visual methods can

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ASEE-NE 2022

Authors

Hugh L Mcmanus, Northeastern University; Kris Jaeger-Helton, Northeastern University

, questions, expert guidance, and coaching (Adams et al., 2017).More specifically, Northeastern’s IE Capstone program integrates multiple opportunities forteams to receive feedback. Regular assignments, weekly advisor meetings, frequent clientinteractions, coordinator check-in sessions, open class Q&A, peer-to-peer feedback, and writtenfaculty evaluations during presentations all serve as sources of feedback. The writing coordinatormeets with every team once a term to provide detailed feedback on the writing assignments, andassure the teams are poised to create high-quality documents. The writing program is describedin a recent Capstone Conference paper (McManus, 2022). Further, all teams are stronglyencouraged to seek out faculty members for

Collection

ASEE-NE 2022

Authors

Kai Ren, Wentworth Institute of Technology

)assignment is due on the Sunday midnight of the second week and lab1 report is due on the Sundaymidnight of the nineth week. There are 6 HW and 3 lab assignments, one midterm, and one finalexam. Lab 3 is the lab project, where a 20 minutes (15 minutes presentation + 5 minutes Q & A)conference-like final presentation is required for all lab groups (two or three students are in onegroup).Antenna Labs Using FEKO Objectives, problem statements, initial antenna parameter calculations based on correspondingtheories learnt in lectures, and guided antenna simulations are provided in each lab. In the first lab,students design and optimize a quarter-wavelength monopole antenna using the full-wavenumerical simulation tool FEKO, understand the ground size

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ASEE-NE 2022

Authors

Daisy Ren, University of Connecticut; Pierredens Fils, University of Connecticut; Shinae Jang P.E., University of Connecticut

season and structural components can expand and retract due totemperature fluctuations giving rise to various amounts of joint movements.REFERENCES[1] H. A. Pentas, R. R. Avent, V. K. Gopu, and K. J. Rebello, “Field Study of Longitudinal Movements in Composite Bridges,” Transportation Research Record, pp. 117–128, 1995.[2] B. J. Swanson, R. B. Malla, and M. T. Shaw, “Laboratory testing, Field Installation, and monitoring of a silicone foam sealant for bridge expansion joints,” Journal of Bridge Engineering, vol. 18, no. 8, pp. 758–767, 2013.[3] J. Marques Lima and J. de Brito, “Inspection survey of 150 expansion joints in road bridges,” Engineering Structures, vol. 31, no. 5, pp. 1077–1084, 2009.[4] Y. Q. Ni, X. G

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ASEE-NE 2022

Authors

Tedi Qafko, Wentworth Institute of Technology; Trevyn Larson; Andrew Michael Seredinski, Wentworth Institute of Technology

in Air by Their Assembly in Inert Atmosphere,” Nano Lett., vol. 15, no. 8, pp. 4914–4921, Aug. 2015, doi: 10.1021/acs.nanolett.5b00648.[8] M. Yankowitz, Q. Ma, P. Jarillo-Herrero, and B. J. LeRoy, “van der Waals heterostructures combining graphene and hexagonal boron nitride,” Nat. Rev. Phys., vol. 1, no. 2, pp. 112–125, Feb. 2019, doi: 10.1038/s42254-018-0016-0.[9] C. R. Dean et al., “Boron nitride substrates for high-quality graphene electronics,” Nat. Nanotechnol., vol. 5, no. 10, pp. 722–726, Oct. 2010, doi: 10.1038/nnano.2010.172.[10] G.-H. Lee et al., “Highly Stable, Dual-Gated MoS 2 Transistors Encapsulated by Hexagonal Boron Nitride with Gate-Controllable Contact, Resistance, and Threshold

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ASEE-NE 2022

Authors

Mansour Zenouzi, Wentworth Institute of Technology; Gregory J Kowalski, Northeastern University; Aliagha Rezvani

power potential of SGE was investigated using exergy analysis by Zenouzi,Kowalski and their co-authors [10]. As it is defined in [11], a system (river water) has exergy(the maximum theoretical work) when one or more of its properties such as temperature,pressure, and composition differ from that of the environment (dead state, here salty lake water).The potential power of a system using exergy analysis is related to the flowrate, Q , the density,  of the river flowing into the salty lake, and the flow exergy of the river water, 𝑒𝑥𝑓 , Eq. 4; 𝑃(𝑘𝑊) = 𝜌(𝑘𝑔/𝑚3 ) × 𝑄(𝑚3 /𝑠)𝑒 × 𝑒𝑥𝑓 (𝑘𝐽/𝑘𝑔) (4)in this analysis the salty lake water is considered as a dead state. Where the flow exergy is

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ASEE-NE 2022

Authors

Cuong H Pham, Wentworth Institute of Technology

the opportunity to hold a Bistlinegrant in support of the development of this course in the CSAS major. We would also like tothank the School of Computing and Data Science and the School of Sciences and Humanities forthe resources to deliver this course in Fall 2021.References1. Gary R. Skuse, Daniel A. Walzer, Kathryn Tomasek, Douglas Baldwin and Mark Bailey,“Computer Science and the Liberal Arts: Hidden Synergies and Boundless Opportunities,” NewDirections for Computing Education, eds. S.B. Fee et al., Springer, 2017, 48.2. Dawson, J. Q., Allen, M., Campbell, A., & Valair, A. (2018). Designing an IntroductoryProgramming Course to Improve Non-Majors’ Experiences. Proceedings of the 49th ACMTechnical Symposium on Computer Science

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ASEE-NE 2022

Authors

Uma Balaji, Fairfield University; Isaac Macwan, Fairfield University

. Nature 483, 29 (2012).[6] Gui, Q., Lawson, T., Shan, S., Yan, L. & Liu, Y. The Application of Whole Cell-Based Biosensors for Use in Environmental Analysis and in Medical Diagnostics. Sensors 2017, Vol. 17, Page 1623 17, 1623 (2017).[7] Thouand, G. Handbook of Cell Biosensors. Handb. Cell Biosens. (2020). doi:10.1007/978- 3319-47405-2

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ASEE-NE 2022

Authors

Diane Ward, Educator

Tagged Topics

Diversity

.[Accessed: March 29, 2022].[9] Future Engineers. Future Engineers, 2022. [Online]. Available:https://www.futureengineers.org. [Accessed: March 28, 2022].[10] Invention Convention. Invention Convention Worldwide, 2022. [Online]. Available:https://inhub.thehenryford.org/icw/home. [Accessed: March 28, 2022].[11] Rube Goldberg. Rube Goldberg, 2022. [Online]. Available: http://rubegoldberg.com.[Accessed: March 28, 2022].[12] Du, X., Lundberg, A., Ayari, M. A., Naji, K. K., & Hawari, A. (2022). Examiningengineering students' perceptions of learner agency enactment in problem- and project-basedlearning using Q methodology. Journal of Engineering Education, 111(1), 111–136. Available:https://doi.org/10.1002/jee.20430. p. 132 [Accessed: March 28, 2022

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ASEE-NE 2022

Authors

Michael G Joseph, University of Bridgeport; Khaled Elleithy, University of Bridgeport

Interpretation (SSIAI), 2018, pp. 9-12: IEEE.[6] E. Arbel and H. Hel-Or, "Texture-preserving shadow removal in color images containing curved surfaces," in 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007, pp. 1-8: IEEE.[7] F. Ebner and M. D. Fairchild, "Development and testing of a color space (IPT) with improved hue uniformity," in Color and imaging conference, 1998, vol. 1998, no. 1, pp. 8-13: Society for Imaging Science and Technology.[8] R. Guo, Q. Dai, and D. Hoiem, "Paired regions for shadow detection and removal," IEEE transactions on pattern analysis and machine intelligence, vol. 35, no. 12, pp. 2956-2967, 2012.[9] N. Moroney, M. D. Fairchild, R. W. Hunt, C. Li, M. R

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ASEE-NE 2022

Authors

Vacharaporn Paradorn; Sunita Rajni Virk Singh Poma; Nathan Agyeman; Kavitha Chandra, University of Massachusetts Lowell; Susan Thomson Tripathy, University of Massachusetts Lowell; Tiana Robinson, University of Massachusetts Lowell

, "Product Lifecycle Managementin aviation maintenance, repair and overhaul," Computers in Industry, vol. 59, no. 2-3, pp. 296-303, 2008.[l2] T. M. Rupp, "Facilitating Collaborative Business Processes in the Aero Engine Industry - Towards Product Lifecycle Management and Beyond," IEEE International Technology Management Conference (ICE), l-8, 2007[l3] K. Y. H. Lim, P. Zheng and C. Chen, "A state-of-the-art survey of Digital Twin:techniques, engineering product lifecycle management and business innovation perspectives," J Intell Manuf, 3l, (6), l3l3-l337, 20l9.[l4] M. Xiong, H. Wong, Q. Fu, and Y. Xu, "Digital twin-driven aero-engine intelligent predictive maintenance," Int J Adv Manuf Technol, ll4, 375l-376l, 202l