Conference Session

Computing and Information Technology Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Awatif Amin, Johnson C. Smith University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

drop out before completing their degree, successful identification of students atrisk could result in a program of directed retention intercession services. The research questionis, what was the relationship between students’ commitment behavior, and family backgroundand retention. The approach of this quantitative study was pursuit of an understanding of thefactors identified in the literature of retention. The study showed number of class hours, financialsituations, lack of family emotional support, social life and institutional assistance wereimportant factors.Students’ retention in higher education has attracted the attention of college and universityadministrators for many years [1]. According to Bennett, Kottasz, and Nocciolino [2

Conference Session

Computing and Information Technology Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Alireza Kavianpour, DeVry University, Pomona

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

2020.There are some universities offering four years degree in the field of Renewable EnergyEngineering Technology (REET). In this paper author’s experience in teaching courses in REETprogram, typical student senior projects, and job market forecast for this field will be discussed.The assessment data for the REET senior project was analyzed. Several recommendations forimproving student’s outcomes are suggested.1- IntroductionWhy Study Alternative/Renewable Technologies?Alternative energy is referring to sources of energy that replace fuel sources without theundesired consequences. Fossil fuel burning produces pollution. Nuclear power is a commonalternative to fossil fuels however, radiation and the long-term containment cause great concernand

Conference Session

Computing and Information Technology Division Technical Session 8

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Weidong Kuang, University of Texas Rio Grande Valley; Abhijit Baul, University of Texas Rio Grande Valley

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

ofautomated attendance systems have been developed using different technologies. In thefingerprint-based attendance system [1], a portable fingerprint device is required to collect andrecognize students’ fingerprints to mark their attendances. In the RFID-based attendance system[2], students need to present their RFID cards to an ID card reader to record their presences. Inthe Iris-based attendance system [3], a camera scans the Iris of students, which will be used tomatch the Iris database of students, and to update the attendance of students. Recently, face-recognition based attendance systems are getting more attentions [4] [5] [6]. In this paper, we proposed and implemented an attendance system based on face recognitionusing pre-trained deep

Conference Session

Computing and Information Technology Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Soren Peter Henrichsen, Utah Valley University; Reza Sanati-Mehrizy, Utah Valley University; Afsaneh Minaie, Utah Valley University

Tagged Divisions

Computing and Information Technology

position by comparing them, and absolute position by their relative position. The limit onaverage complexity for the best comparison sorting algorithms on randomly generated unsortedlists is , though they may perform better or worse for particular inputs[1, 2]. Non-comparison sorts exist, notably radix sort and bucket sort [3]. These sorts determineabsolute position directly from operations on the list elements, so the time taken depends on thesize, length, and distribution of the input data set. While these sorts can be faster in theory, theycan be slower in practice because for radix sort the complexity also scales with the key size [7],and bucket sort is influenced by the data distribution. This paper will