Collection

2024 CIEC

Authors

Md. Ali Haider; Jody Alberd

alreadypart of this interconnected ecosystem, surpassing the total human population on Earth at thattime [7].The trajectory of universities in the coming years extends far beyond the mere utilization ofexisting technology. It hinges on universities' capacity to flexibly evolve in response to theevolving demands of the future knowledge workforce, the changing nature of work, and thedynamics of the economy [8].Within this context, this paper offers an expansive examination of the IoT within highereducation institutions, with a particular focus on universities. It delves into a multifacetedexploration, encompassing several emerging trends currently reshaping the landscape of highereducation. Furthermore, it conducts a thorough analysis of the potential

Collection

2024 CIEC

Authors

Sarah (Yin Yin) Tan; Song-Lin Yang; David Labyak

, especiallythose enrolled in the ETS program, with their traditional engineering transfer peers.Our study primarily focuses on transfer students participating in the Engineering TechnologyScholars – IMProving Retention and Student Success (ETS-IMPRESS or ETS) program, a NationalScience Foundation-funded initiative aimed at supporting underrepresented students in ET andrelated fields. This program is dedicated to enhancing the retention and success of these students byproviding a comprehensive range of support.ETS-IMPRESS addresses financial assistance by alleviating the financial burden forunderrepresented students pursuing degrees in applied ET fields. Simultaneously, it offers academicsupport through the honors program, encompassing mentoring, workshops

Collection

2024 CIEC

Authors

Aleksandr Sergeyev; Scott Kuhl; Bester Mangisoni; Gurveetsingh Ajmani; Mark Kinney; Michael Masters; Kellon Petzak

the FANUC robot homepage, which is a PC version of the teach pendant, and the second web link will lead to the webcam link of the FANUC robot. The user can enable the split screen to stream the video link and operate the robot via the virtual pendant. The robot homepage provides a medium to browse through teach pendant menus, and the jog panel/4D jog panel offers a medium to move the robot with the help of x, y, z, w, p, and r buttons. The video stream helps the user switch between the two webcam feeds as per their preference to interact with objects and environment. 4. Virtual representation of the FANUC robot performing production. The virtual model synchronously moves with the physical robot. The

Collection

2024 CIEC

Authors

James Kribs; Jackson Brown; Angelique Shackleford; Darius Mcklin

thatformal experiences contributed to their confidence [2]. While these formal training opportunitiesdo provide confidence boosts to students, many programs are looking beyond conventionalcourse methods, by directing self-directed continuous learning through reviewing professionalliterature [3]. Other programs have focused on the development of new curricula in Industry 4.0topics, as outlined by Sirinterlikci in his review of Industry 4.0 workforce development [4].Further investigation into the barriers in industry for the acceptance of Industry 4.0 technologies,done by Müller, showed on the second largest concern about adopting Industry 4.0 technologieswas the lack of competencies and knowledge [5]. In a further breakdown of this concern aboutthe

Collection

2024 CIEC

Authors

James Kribs

thatformal experiences contributed to their confidence [2]. While these formal training opportunitiesdo provide confidence boosts to students, many programs are looking beyond conventionalcourse methods, by directing self-directed continuous learning through reviewing professionalliterature [3]. Other programs have focused on the development of new curricula in Industry 4.0topics, as outlined by Sirinterlikci in his review of Industry 4.0 workforce development [4].Further investigation into the barriers in industry for the acceptance of Industry 4.0 technologies,done by Müller, showed on the second largest concern about adopting Industry 4.0 technologieswas the lack of competencies and knowledge [5]. In a further breakdown of this concern aboutthe

Collection

2024 CIEC

Authors

Mahdi Yazdanpour; Leslie Ferrao; Biplov Ale

)-based braincomputer interface (BCI) through the user's intentions or mental commands. Our BCI interactsdirectly with neurosignals captured from the brain using a wireless EEG brainwear. The systemis trained to recognize the user's unique brain patterns associated with different commands. Ourinterface recognizes changes in brainwaves when the user imagines performing a specificmovement. We process and classify these neurosignals and convert them to meaningfulcommands to control the robotic arm. Our desktop robot is adapted based on the open-sourceZortrax robotic arm, incorporating Marlin firmware and Pronterface to monitor and control therobot operations by processing the G-code commands. This project aims to enhance human-machine interaction by

Collection

2024 CIEC

Authors

Jiayue Shen; Daniel Jones; Kazi Imran; Xiang Wang; Weiru Chen; Lanju Mee

pivotal roles as principal investigator and senior personnel for over 10 research and teaching projectssponsored by diverse external agencies. Her prolific scholarly output encompasses 25+ publications spanningjournals and conference proceedings. Beyond her research, she actively engages in conference committees andextends her expertise as a diligent reviewer for esteemed journals and conferences in her specialized field.DANIEL K. JONES, PhD, PE, is an associate professor of Mechanical Engineering Technology SUNY Poly inUtica, NY. He teaches a variety of courses including mechanical components, advanced machine design, mechanicalmeasurements, vibrations analysis, and capstone experience. He has established a state-of-the-art EEG laboratoryand is