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- 2024 CIEC
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Ahmad Fayed; Mohamed Zeidan; Ephraim Massawe; Mehmet Bahadir
the faculty offices, conferencefacility and the main administrative office of the building. Parameters collected were carbondioxide (CO2), relative humidity (RH %), Ttmperature (T oF) and ventilation rates.Table 2. IAQ data collection forms. RM1 RM2 RM3 CO2 RH T Q CO2 RH T Q CO2 RH T Q Group 1 (ppm) (ppm) (ppm) Days (%) (oF) (ft3min) (%) (oF) (ft3min) (%) (oF) (ft3min) Students
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- 2024 CIEC
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Jungwon Ahn
. iii) incorporating necessary equations and calculus while minimizingcomplexity.In this light, the utilization of end-of-semester case study presentations in fluid-thermo coursesoffers several benefits. Throughout the semester, instructors prioritize applied fluid-thermoconcepts. In addition, it allows students to study deeper into topics of interest, includingconcepts, equations, applications, and emerging technologies. Moreover, students gain valuableinsights from peers’ presentations while receiving feedback and detailed explanations frominstructors during Q&A sessions. Additionally, these presentations inspire the development ofnew labs for continuous course improvement in subsequent semesters. The survey and courseevaluations results
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- 2024 CIEC
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Afi Anuar; Vukica Jovanovic; Natnan Luetke; Hamid Eisazadeh; Isaac Flory IV; Mileta Tomovic; Anthony Dean
manufacturing: a state of art review," Sustainable Futures, vol. 2, p. 100023, 2020.[6] S. Sahoo and C. Y. Lo, "Smart manufacturing powered by recent technological advancements: A review," Journal of Manufacturing Systems, vol. 64, pp. 236-250, 2022. Proceedings of the 2024 Conference for Industry and Education Collaboration Copyright ©2024, American Society for Engineering Education ETD 315[7] J. Lee, P. C. Chua, L. Chen, P. H. N. Ng, Y. Kim, Q. Wu, et al., "Key enabling technologies for smart factory in automotive industry: status and applications," International Journal of Precision
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- 2024 CIEC
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Melissa Symanski; Molly Pobiel
interview with a human resources representative from a similar-sized engineering firmrevealed that a cohort-based learning approach could curb feelings of imposter syndrome and aidin onboarding new hires to the organization. The new hire group met bi-weekly for one year. Thefirst monthly meeting was for sharing experiences, and the second was for one-on-one Q&Asessions with senior leaders, human resources, and other internal operations staff members aboutthe culture and how the organization worked. This approach helped to clarify expectations, fosterengagement, and retain those new hires.Educators can proactively address imposter syndrome in university students transitioning to theworkplace by incorporating confidence-building activities and
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- 2024 CIEC
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Otilia Popescu; Dimitrie Popescu; Murat Kuzlu
., Smith-Jackson, T. L., Dietrich, C. B., & Bose, T. (2011, June). Accelerated Undergraduate Research Experience in Cognitive Radio Communications. In 2011 ASEE Annual Conference & Exposition (pp. 22-133).[7] Turini, G., Wang, Y., Kanchi, S., Tewolde, G., & Geske, J. (2015). MRI: Acquisition of 4G LTE and WiMAX Wireless System to Facilitate Multidisciplinary Research Efforts and Enhance Undergraduate Research Training.[8] Tu W, Xu H, Xu Y, Ye Q, Shen M. Research on 2.4 GHz wireless channel propagation characteristics in a steel ship cabin. International Journal of Antennas and Propagation, 2021.[9] Xing Y, Rappaport T, Ghosh A. Millimeter Wave and Sub-THz Indoor Radio Propagation Channel
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- 2024 CIEC
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Md. Ali Haider; Jody Alberd
%2C43&authuser=1&q=University%E2%80%93Industr y+cooperation+and+IoT&oq=Io[14] R. C. Manimaran and M. A. Haider, “Strategies for Continuous Improvement in ETAC of ABET Programs: A Novel Approach,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2023.[15] A. Hachani and N. Ajailia, “Towards New Generation of Civil Engineers in the IoT Era: PBL as a Tool for Integrating IoT in Civil Engineering Curricula,” in IEEE Global Engineering Education Conference, EDUCON, 2023. doi: 10.1109/EDUCON54358.2023.10125234.[16] A. Shamayleh, M. Awad, and J. Farhat, “IoT Based Predictive Maintenance Management of Medical Equipment,” J Med Syst, vol. 44, no. 4, 2020, doi: 10.1007/s10916-020-1534-8.[17