Collection

2023 ASEE Midwest Section Conference

Authors

Oghenetega A. Obewhere; Karen A. Cerda; Rajesh Keloth; Shudipto K. Dishari

in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis,” Heliyon, vol. 8, no. 5, p. e09433, 2022, doi: 10.1016/j.heliyon.2022.e09433.[3] N. S. F. National Science Board, “Elementary and secondary STEM education,” Sci. Eng. Indic. 2022. NSB-2021-1, pp. 1–77, 2021, [Online]. Available: https://www.fcsm.gov/assets/files/docs/G5Rotermund.pdf.[4] D. Ciuffetelli Parker and P. Conversano, “Narratives of Systemic Barriers and Accessibility: Poverty, Equity, Diversity, Inclusion, and the Call for a Post-Pandemic New Normal,” Front. Educ., vol. 6, no. July, pp. 1–19, 2021, doi: 10.3389/feduc.2021.704663.[5] İ. Y. Kazu, C. Kurtoğlu, Y. Ii, I

Collection

2023 ASEE Midwest Section Conference

Authors

Joel R. TerMaat; Kristopher J. Williams; Christopher D. Wentworth

replicate such acomplex network of factors at other institutional types.References[1] ASME, “Ethics in Engineering,” 2023. https://www.asme.org/about-asme/governance/Ethics-in-Engineering (accessed Aug. 22, 2023).[2] ASCE, “Code of Ethics,” 2020. https://www.asce.org/career-growth/ethics/code-of-ethics (accessed Aug. 22, 2023).[3] C. G. Schneider, “Making Excellence Inclusive: Liberal Education and America’s Promise,” Lib. Educ., vol. 100, no. 4, 2014.[4] E. M. Lang, “Distinctively American: The Liberal Arts College,” Daedalus, vol. 128, no. 1, pp. 133–150, 1999.[5] J. R. Rest, S. J. Thoma, and M. J. Bebeau, Postconventional moral thinking: A neo-Kohlbergian approach. Psychology Press., 1999.[6] J. R. Rest, D. Narvaez, S. J. Thoma

Collection

2021 Northeast Section Meeting

Authors

Jason Rinehart; Trinh Huynh; Douglas Dow; Saurav Basnet

Information,” 2020, in press. [2] S. Akter, R. A. Sima, M. S. Ullah, and S. A. Hossain, “Smart Security Surveillance using IoT,” 2018, pp. 659–663, doi: 10.1109/ICRITO.2018.8748703, in press. [3] Y. Bai, C. Cheng and Z. Xie, "Use of ultrasonic signal coding and PIR sensors to enhance the sensing reliability of an

Collection

2025 Rocky Mountain Section Conference

Authors

Mridusmita Saikia; Stephanie Fuchs

] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering DesignThinking, Teaching, and Learning,” J. Eng. Educ., vol. 94, no. 1, pp. 103–120, Jan. 2005, doi:10.1002/j.2168-9830.2005.tb00832.x.[3] A. R. Carberry, H. Lee, and M. W. Ohland, “Measuring Engineering Design Self‐Efficacy,” J. Eng. Educ., vol. 99, no. 1, pp. 71–79, Jan. 2010, doi: 10.1002/j.2168-9830.2010.tb01043.x.[4] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorensen, “A Review of Literature onTeaching Engineering Design Through Project‐Oriented Capstone Courses,” J. Eng. Educ., vol.86, no. 1, pp. 17–28, Jan. 1997, doi: 10.1002/j.2168-9830.1997.tb00260.x.[5] D. A. Kolb, Experiential learning: Experience as the source of learning

Conference Session

Minorities in Engineering Division(MIND) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Royce A Francis, The George Washington University; Jerrod A Henderson, William A. Brookshire Department of Chemical & Biomolecular Engineering; David Horton Jr, University of Houston

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

complete your project. - Can you tell me about how your team formulated the problem(s) your project addresses? - How did your project formulation or scope change over time? - Why do you think your team went about things in this way? - Tell me about some of the technical choices your team made and why. - What types of data, observations, experiences, or other factors influenced what your team did? - How do you feel the technical aspects of your work influenced the ways your team worked together? - Conversely, how do you feel the ways your team worked together influenced the technical choices your team made?Q4: Continuing with this project, what are the work processes your team engaged in

Conference Session

Cooperative and Experiential Education Division (CEED): Assessment, Curriculum & Instructional Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shawna Fletcher, Texas A&M University; Magdalini Z Lagoudas, Texas A&M University

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

objectives for the course included an ability for each student to a) apply academicknowledge and engineering skills to a real-world problem, b) develop a project scope, majorproject deliverables, and a project schedule, c) practice the fundamentals of the engineering designprocess to develop a solution(s) to an industry-defined project challenge, d) create a solution whichmeets design requirements and standards set by the industry client, e) develop skills for effectiveteam collaboration, f) develop skills for effective communication, both written and verbal, tocomplete technical and work-related projects, f) develop professional skills by interactingfrequently with peers and engineers from industry.Though the course provided many essential academic

Conference Session

ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making

Collection

2025 ASEE Annual Conference & Exposition

Authors

Catalina Cortazar, Pontificia Universidad Catolica de Chile; Gabriel Astudillo, Pontificia Universidad Catolica de Chile; Isabel Hilliger P.E., Pontificia Universidad Catolica de Chile

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

, along with triangulating other sources of evidence. Concerning findings, thismay be influenced by the fact that both engineering and bachelor students have courses onmath and basic science, in conjunction with this course, so there may be hidden effectsrelated to other curricular and extracurricular activities experienced by students.References[1] T. Byers, T. Seelig, S. Sheppard, and P. Weilerstein. The Bridge - Summer 2013 - v43n2. The Bridge, 43(2), 2013.[2] N. Duval-Couetil, A. Shartrand, and T. Reed. The role of entrepreneurship program models and experiential activities on engineering student outcomes. Advances in Engineering Education, 5(1), 1–27, 2016. https://eric.ed.gov/?id=EJ1090582[3] M. Van Gelderen. Developing

Conference Session

Engineering Education Methods and Reflections

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jad El Harake, Vanderbilt University; gina yu, Vanderbilt University; Kaden Jorge Tro; Jonathan Ehrman, Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

a manuscript, training other lab members…) 3 Student meets expectations in this category (eg, punctual, follows instructions, communicative…) 2 Student does not always meet expectations in this category (eg, lack of preparation, infrequent research updates, unexplained delays…) 1 Student rarely meets expectations (eg, missing meetings, very little or no communication with mentors, not showing up…)Table 2. Snippet from the student survey showing the research-related evaluation questions asked and the allowed format of the response. Question Response Format Research project(s) progress

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher Freeze, The University of Oklahoma

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

many as possible rather than to screen [out allbut the best academic students].” Towhidi and Pridmore’s (2023) research underscores the finding that incorporatingindustry certifications is not considered a panacea while Ouh and Shim (2021) explained thatintegrating certifications into a curriculum required an intentional, purposeful, and well-thought-out approach that benefited students, faculty, and industry and, as such, the public. Further,industry organizations regularly seek well-rounded employees of which certifications are simplyone part of the whole. For example, Tran et al. (2023) identified three hiring criteria amongorganizations seeking to hire cybersecurity graduates: 1) an academic degree, 2) professionalcertification(s

Conference Session

Industry and Technical Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Saki Taguchi, Shibaura Institute of Technology; Kasumi Hoshino, Shibaura Institute of Technology; Yutaro Tsuchida, Shibaura Institute of Technology; Sogo Fujita, Shibaura Institute of Technology; Hatsuko Yoshikubo Ph.D., SHIBAURA INSTITUTE OF TECHNOLOGY; Sumito Nagasawa Ph.D. in Engineering, Shibaura Institute of Technology

Tagged Divisions

Student Division (STDT)

horizontal axis and velocity on the vertical axis were generated from the distance-sensor data. Figure 4 Class instruction. Figure 5 Schematic diagram of the experiment.3.2. Experimental results Graphs generated from the data obtained in Experiments 1 and 2 are presented below (Figure6). These include distance-time graphs with time (s) on the horizontal axis and distance (mm)on the vertical axis, acceleration-time graphs with acceleration (mm/s²) on the vertical axis,and velocity-time graphs calculated from the acquired distance data. To support the discussionon the effectiveness of the filter processing system, each graph includes both the filtered andunfiltered data. Figure 6 Effect of the Kalman

Conference Session

Marginalization, Identity, and Student Development (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 9)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Haiying Long, University of Kansas; Stephen Secules, Florida International University; Jingjing Liu, Florida International University; Julian Rodrigo Sosa-Molano, Florida International University; Joseph Ronald Sturgess, Florida International University; Bruk T Berhane, Florida International University

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

research interests include community college-minority serving institution partnerships, transfer students, post-traditional students, and broadening participation in engineering education. He received his B.S. in electrical engineering from Tuskegee University, an M.S in journalism from the University of Illinois-Urbana Champaign, an M.S. in physics from Fisk University, an M.S. in industrial engineering from the University of Central Florida and an M.Ed. in educational leadership from Texas Christian University.Dr. Bruk T Berhane, Florida International University Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s

Conference Session

ERM WIP I: Methodological Applications in the Disciplines

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bryce E. Hughes, Montana State University - Bozeman; Emmanuel Tetteh Teye

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Education Psychology and Public Media, vol. 7, no. 1, pp. 371-376, 2023, doi: 10.54254/2753-7048/7/20220889.[4] J. B. Freeman, "Measuring and resolving LGBTQ disparities in STEM," Policy Insights from the Behavioral and Brain Sciences, vol. 7, no. 2, pp. 141-148, 2020, doi: 10.1177/2372732220943232.[5] B. Hughes and S. MGWatson, "In/authenticity in STEM Social Networks: How “Out” are LGBTQ Students with their Peers in STEM?," presented at the 2023 ASEE Annual Conference & Exposition Proceedings, 2023.[6] E. V. Patridge, R. S. Barthelemy, and S. R. Rankin, "Factors impacting the academic climate for LGBQ STEM faculty," J. Women Minor. Sci. Eng., vol. 20, no. 1, pp. 75-98, 2014 2014, doi: 10.1615

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Todd M. Fernandez, Georgia Institute of Technology; Alexandra Werth, Cornell University

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

. limitations. Supporting data Traditional psychometric approaches require Factorial surveys by necessity are designed for aggregation reassessment and revalidation when applying sparse data analysis techniques, support aggregation instruments to new populations. even when items or context vary (within limits).Situating Measurement: Factorial Survey DesignFactorial surveys invert typical latent construct measurement practices. Typical latent construct instruments askmany items about a singular (or no clear) context to achieve construct coverage. In contrast, factorial surveysask the same question(s) multiple times while presenting the question in different scenarios varied ondimensions

Conference Session

Elements of decision making in engineering economics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hartanto Wibowo, Iowa State University of Science and Technology; Jon Matthews Rouse

Tagged Divisions

Engineering Economy Division (EED)

those who responded. However, the survey wasadministered by a third-party faculty member (not the instructor-of-record and never participatedin class activities) so that students’ remarks could be decoupled from their names when sharedwith the course instructor. Survey participants were informed of this anonymization, so thestudents could express their thoughts freely and possible bias in grading could be minimized.The methodology is illustrated in Figure 2. Figure 2. Methodology flowchartTerminology Inventory QuizEngineering students are generally not highly familiar with common jargon and terminologies ineconomics if they have not taken elective, introductory-level economics or business course(s).Most students

Conference Session

Engineering Technology Division (ETD) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Asif Ahmed, State University of New York, Polytechnic Institute; SATHVIKA KATIKANENI, State University of New York, Polytechnic Institute; Ashish Gunda, State University of New York, Polytechnic Institute

Tagged Divisions

Engineering Technology Division (ETD)

, J.R., Hall, S., Holmes, D., and Turner, E. (2020). Black Summer: Australian Newspaper Reporting on the Nation’s Worst Bushfire Season. Monash Climate Change Communication Research Hub; Monash University: Clayton, Australia; p. 30.2. Heilweil, R. (2024). More federal agencies join in temporarily blocking or banning ChatGPT. FedScoop. Available at https://fedscoop.com/more-federal-agencies-join-in-temporarily- blocking-or-banning-chatgpt/, Accessed on May 28, 2024.3. Keeley, J. E., Safford, H., Fotheringham, C. J., Franklin, J., and Moritz, M. (2009). The 2007 southern California wildfires: lessons in complexity. Journal of Forestry, 107(6), 287-296.4. Keeley, J. E., Fotheringham, C. J., and Moritz, M. A. (2004). Lessons from the

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 8: Communication and Liberal Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Amanda Dawn Hilliard, The Johns Hopkins University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

-5ct7-54du.[13] S. A. Athaluri, S. V. Manthena, V. S. R. K. M. Kesapragada, V. Yarlagadda, T. Dave, and R. T. S. Duddumpudi, “Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References,” Cureus, Apr. 2023, doi: 10.7759/cureus.37432.[14] A. E. Greene, Writing Science in Plain English, Chicago, IL, USA: The University of Chicago Press, 2013.[15] G. R. Hess and E. N. Brooks, “The Class Poster Conference as a Teaching Tool,” Journal of Natural Resources and Life Sciences Education, vol. 27, no. 1, pp. 155–158, 1998, doi: 10.2134/jnrlse.1998.0155.[16] J. Schimel, Writing Science: How to Write Papers that Get Cited and Proposals

Conference Session

Industry and Technical Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Aakash Alpesh Patel, University of Georgia; Taiwo Raphael Feyijimi, University of Georgia; Sarah Jane Bork, University of Georgia

Tagged Divisions

Student Division (STDT)

Excel file. The retrieved transcripts were thenprocessed to convert them into text from transcript form. This involved the removal of timestamps and correction of word spacing. Stage 3: Transcript Evaluation: For this study, we built off ongoing work by members ofthe research team to adapt a framework to perform deductive thematic analyses [redacted; underreview]. This method leverages a combination of prompt engineering techniques (PETs), naturallanguage processing via large language models (NPL via LLMs; i.e., ChatGPT), and Bradley etal.’s framework on thematic analysis. Appendix B details the exact prompts used to extractrelevant themes and ideas from the transcripts. Bradley et al.’s study outlined a method whereseveral codes should

Collection

2025 ASEE -GSW Annual Conference

Authors

Ahmed Hasan, University of New Mexico; Alex V Maynes

- 90° ~ +90° 320°/s J2 0° ~ +85° 320°/s J J J3 - 10° ~ +90° 320°/s J4 0° 0°/s J Table 4. DOBOT motion range and specifications 9 Figure 12. DOBOT specifications 9The primary challenges encountered involved the inverse kinematics calculations and identifyingthe initial Python import requirements. The inverse kinematics posed significant delays in thedevelopment of the prediction algorithm due to the dynamic

Collection

2025 ASEE -GSW Annual Conference

Authors

Sivaganeshwar Subramaniam, Wichita State University; Adam Carlton Lynch, Wichita State University

paperimproves C-UAS technology in addition to highlighting the necessity of a curiosity-driveninnovation and a structured system engineering framework to address complex challenges within theaerospace domain. Pilot studies and partnership between the defense industry and academicinstitutions will be key in the integration of aerospace and cybersecurity research, to validate theperformance of the C-UAS under real-world conditions. References1. Gorlewicz, J. 1., & Jayaram, S. (2020). Instilling curiosity, connections, and creating value in entrepreneurial minded engineering: Concepts for a course sequence in dynamics and controls. Entrepreneurship Education and Pedagogy, 3(1), 60-85. https

Collection

2025 ASEE -GSW Annual Conference

Authors

Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University

Academic Assignments: Policy Implications from a Systematic Review of Student and Teacher Perceptions," Massachusetts Institute of Technology, 2024.[3] K. Shryock, K. Watson, L. White, and T. Balart, "Developing a Model to Assist Faculty with Taming the Next Disruptive Boogeyman [InPress}," Available at SSRN 4699941, 2024.[4] S. Amani et al., "Generative AI Perceptions: A Survey to Measure the Perceptions of Faculty, Staff, and Students on Generative AI Tools in Academia," arXiv preprint arXiv:2304.14415, 2023.[5] L. White, T. Balart, S. Amani, K. J. Shryock, and K. L. Watson, "A preliminary exploration of the disruption of a generative ai systems: Faculty/staff and student perceptions of

Collection

2025 ASEE -GSW Annual Conference

Authors

Pedro Cordeiro Povoa Cupertino, Wichita State University; Adam Carlton Lynch, Wichita State University

. https://www.researchgate.net/publication/262676809_A_Study_on_The_Development_Of_Key_Performance_I ndicators_KPIs_at_an_Aerospace_Manufacturing_Company 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝐷𝑒𝑓𝑒𝑐𝑡𝑖𝑣𝑒 𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑠𝐷𝑒𝑓𝑒𝑐𝑡𝑖𝑣𝑒 𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑠 = 𝑥 1000 [5] Westgard, J. O., and Westgard, S. A. "Establishing Evidence-Based Statistical Quality Control Practices." 𝑇𝑜𝑡𝑎𝑙 𝑈𝑛𝑖𝑡𝑠 𝑀𝑎𝑛𝑢𝑓𝑎𝑐𝑡𝑢𝑟𝑒𝑑

Collection

2025 Northeast Section Conference

Authors

Mohamed Elwakil; Tooran Emami Ph. D.

these gaps, educators and AI Knowledge and Prompt Engineering Ability: A Mixed Methodspolicymakers can ensure that prompt engineering instruction Study," arXiv preprint arXiv:2408.07302, Aug. 2024. [Online].evolves to meet the demands of an AI-driven future, equipping Available: https://arxiv.org/abs/2408.07302learners across disciplines with the skills to innovate properly [4] J. Prather, J. Leinonen, N. Kiesler, J. G. Benario, S. Lau, S. MacNeil, N.and effectively. Norouzi, S. Opel, V. Pettit, L. Porter, B. N. Reeves, J. Savelka, D. H

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut; Christina Smith, University of Connecticut; Faiyhaa-Sydra Saulat, University of Connecticut

engineeringthis issue requires continuous evaluation of AI algorithms and education: The future is now,” in Proceedings of the Canadian Societypromoting AI literacy among students so they can critically for Civil Engineering Annual Conference 2023, Volume 1, ser. Lectureassess AI-generated outputs. Notes in Civil Engineering, S. Desjardins and G. J. Poitras, Eds. Springer, Cham, 2024, vol. 495. Furthermore, the risk of over-reliance on AI tools is an- [6] A. J. J. Schleiss and S. Stober, “Integrating ai education in disciplinaryother challenge that educators must consider. While AI can engineering

Collection

2025 Northeast Section Conference

Authors

Shashi Kiran Chandrappa; Sidike Paheding; Yu Cai Cai

[1] S. Sivakorn, I. Polakis, and A. D. Keromytis, “Thein performance comparison. The dataset encompassed diverse cracked cookie jar: Http cookie hijacking and the expo-HTTP request sequences, covering both Normal and Anomaly sure of private information,” in 2016 IEEE Symposiumclasses. Preprocessing techniques ensured structured input on Security and Privacy (SP), 2016, pp. 724–742. DOI:representation, and models were evaluated on accuracy, in- 10.1109/SP.2016.49.terpretability, and classification reliability. This uniform setup [2] J. Hasan and A. M. Zeki, “Evaluation of web applica-enabled comparative analysis of LLM efficacy in anomaly

Collection

2010 ASEE Zone 1 Conference

Authors

Anne E. Mohan; Enrique Sola; James Patrick Abulencia

industrial partnership affects the student’senthusiasm and participation. It is therefore the responsibility of engineering professors toremain active and involved in the industrial partnerships of their college in order to ensure theirsuccess. References1. Reynolds, Terry S. The Engineer in America: a Historical Anthology from Technology and Culture. Chicago U.a.: Univ. of Chicago, 1991. Print.2. Grayson, Lawrence. The Making of an Engineer - An Illustrated History of Engineering Education in the United States and Canada. John Wiley and Sons, 1993. Print.3. Lamancusa, John S., Jose L. Zayas, Allen L. Soyster, Lueny Morell, and Jens Jorgensen. "THE LEARNING FACTORY: Industry-Partnered

Collection

2010 ASEE Zone 1 Conference

Authors

Daniel Ruscansky; David Vecchione; Ryan Foley; Shankar Krishnan; Mansour Zenouzi

ahumidifier in the housing. A low noise fan is generally less than 16dB, with a volumetric flowrate of 0.017m3/s [10]. Not only are these fans able to deliver a high enough flow rate withoutbeing too loud, but they can be purchased inexpensively. The velocity of these airs should be lessthan 0.35m/s, to the baby is not uncomfortable. There is also a small hole in the center of thebottom panel; this hole is used for wires, and the tubing for oxygen. There is also a ventilationoutlet, so that the air has somewhere to go when there is new air being pumped in.Sensors:Sensors are an extremely important aspect of any piece of medical equipment. Thermistors arebeing used to monitor the temperature, because of their range and accuracy. Infants need a

Collection

2014 ASEE Zone 1 Conference

Authors

Richard Millham

of assignment between Open and Distance Learning, vol. 5, 2004.assessments, and time allocated per assessment. [13] P. N. S. Järvelä, J. Laru, and T. Luokkanen, " Structuring and regulating collaborative learning in VII. ACKNOWLEDGEMENTS higher education with wireless networks and mobile tools," Educational Technology & Society, vol. 10, pp. 71-79, 2007.The Research Team would like to thank the MMI [14] a. S. B. E

Collection

2014 ASEE Zone 1 Conference

Authors

Daniel Gebremicheal; Paul Cotae

Department of Defense(DoD) Grant W911NE-11-1-0144. REFERENCES[1] R. Kamdem, P. Cotae and I.S. Moskowitz,” Threshold based stochastic resonance for the binary-input ternary output discrete memoryless channels,” Proceedings of the IASTED-CIIT, pp. 61-66 May 2012.[2] Ira. S. Moskowitz, P. Cotae, P. N. Safier, and D. L. Kang, “Capacity Bounds and Stochastic Resonance for Binary Input Binary Output Channels,” Proc. of the IEEE Computing, Communications & Applications conference. pp. 61-66, Jan. 2012.[3] S. Kay, J. H. Michels, H. Chenand and P.K.Varshney,”Reducing probability of decision error using stochastic,”IEEE.Trans on Signal processing, vol.13, pp.695 – 698, Nov.2006.[4] A

Collection

2014 ASEE Zone 1 Conference

Authors

Varun Pande; Jayanta Paul; Manuel Curillo; Jani Macari Pallis

permission to an RJ45 Ethernet port and aamong both satellites as seen in CubeSat Design kill switched recommended by CubeSat [4] while DC/PIPSpecifications Document [4] which will give a velocity of 5 mission has a two patch antennae for conductingmm/s. experiments and GPS mission has GPS antennae ad both of them have similar charges.In DC/PIP mission specified friction equipment will bringCubeSat to zero velocity as they are launched of 10-meter E. Mass Budgettether. In GPS mission a slow drift will be present which Table 2 shows the budget for CubeSat missions of 1

Collection

2008 Northeast Section Meeting

Authors

M.G. Guvench

fact the junior electronics courses (ELE342and ELE343) constituting prerequisites for this course also emphasize design but at a smaller scale andusing discrete BJT and off-the-shelf ICs rather than at the chip level using CMOS technology. Thisemphasis on “design” in our electronics sequence of courses has been implemented starting with an NSFgrant to establish and develop a “Computer-Integrated-Electronics” Laboratory (C.I.E. Lab) in the early1990’s. The concept of “Computer-Integrated-Electronics Laboratory” simply brings computers into theelectronics lab where designs implemented are tested for verification. Availability of PC-basedcomputational and graphics software along with inexpensive circuit simulation tools like “PSpice