2022 Intermountain Engineering, Technology and Computing (IETC)最新文献_第9页

Advanced Folding Robotic Arm for Quadcopters 用于四轴飞行器的先进折叠机械臂

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796687

Parker Wegrowski, W. Thomas, Jacob Lemrick, Taher Deemyad

引用次数: 0

Introspection with Data: Recommendation of Academic Majors Based on Personality Traits 数据反思:基于人格特质的专业推荐

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796766

Aashish Ghimire, T. Dorsch, John Edwards

{"title":"Introspection with Data: Recommendation of Academic Majors Based on Personality Traits","authors":"Aashish Ghimire, T. Dorsch, John Edwards","doi":"10.1109/ietc54973.2022.9796766","DOIUrl":"https://doi.org/10.1109/ietc54973.2022.9796766","url":null,"abstract":"The choice of academic major and academic institution has a large effect on a person’s career. About 40% of students either transfer to a different major or different college or drop out of college within six years. Various social science research has shown that personality traits play a significant role in academic preference. Still, there has not been a comprehensive, data-driven approach to translate this into academic choice. In light of this gap in understanding, we surveyed over 500 people between 18 and 25 years old to capture personality traits and preference of college major and used that information to train a machine learning model to predict college major preference. This research validates the viability of using personality traits as indicators for educational preference. We demonstrate that using a decision tree model, accurate classification can be done, with over 90% accuracy. Furthermore, we explored the two methods of dimension reduction - one using Principal Component Analysis (PCA) and another relying on Social Science research on the Big-Five personality Traits (also known as OCEAN indices) to simplify the problem further. With these techniques, the dimension was reduced by half without decreasing the accuracy of our classifier. We compared other popular machine learning methods and demonstrated that a decision tree is best for such an application. With this research, a readily deployable recommendation system was created that can help students find their most enjoyable academic path and aid guidance counselor and parents with their recommendations.","PeriodicalId":251518,"journal":{"name":"2022 Intermountain Engineering, Technology and Computing (IETC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133763636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Factors that Influence a Student’s Decision to Pursue a Bachelor’s Degree in Civil Engineering 影响学生决定攻读土木工程学士学位的因素

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796797

G. Young, Alexis Post, W. Guthrie

引用次数: 0

The COVID-19 Pandemic’s Impact on Traffic Fatalities in Utah COVID-19大流行对犹他州交通死亡人数的影响

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796727

Khaled Shaaban, Mitch Mortimer

引用次数: 2

Analysis of Pedestrian Crashes in Utah 犹他州行人交通事故分析

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796746

K. Shaaban, Austin Pinter

引用次数: 1

Sketch-a-Map (SAM): Creative Route Art Generation 草图-地图(SAM):创造性路线美术生成

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796760

Marcus Goeckner, Kirill Brainard, Austin J. Lyman, P. Bodily

引用次数: 0

Investigation of High-Frequency Ground-Penetrating Radar for Detecting Debonding of Asphalt Overlays on City Streets 高频探地雷达探测城市街道沥青覆盖层脱粘的研究

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796712

Ammon K. Hymas, Maia A. Nelsen, Adam Z. Guthrie, R. J. Stevens, W. Guthrie

{"title":"Investigation of High-Frequency Ground-Penetrating Radar for Detecting Debonding of Asphalt Overlays on City Streets","authors":"Ammon K. Hymas, Maia A. Nelsen, Adam Z. Guthrie, R. J. Stevens, W. Guthrie","doi":"10.1109/ietc54973.2022.9796712","DOIUrl":"https://doi.org/10.1109/ietc54973.2022.9796712","url":null,"abstract":"The objective of this research was to investigate the utility of ground-penetrating radar (GPR) as a potential tool for detecting inadequate bonding after placement of asphalt overlays. This research involved field testing of a pavement segment in a city in northern Utah that exhibited inadequate interlayer bonding between the asphalt overlay, which was underlain by paving fabric, and the underlying asphalt. GPR surveys were completed at each of 21 coring locations using 2.6 GHz and 1.6 GHz antennas, and the GPR images were compared to the bond condition determined from the cores. After a careful visual inspection of all of the images, the researchers concluded that no pattern consistently indicated the correct bond condition for either frequency. The absence of a consistent signature indicating either a bonded or debonded condition may be at least partially attributable to the variable texture of the underlying asphalt, where variable void distributions at the interface may cause variable scattering of the GPR signal and thereby mask subtle differences in the interface that would otherwise potentially allow discrimination among bonded and debonded locations.","PeriodicalId":251518,"journal":{"name":"2022 Intermountain Engineering, Technology and Computing (IETC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wafer Pattern Counting, Detection and Classification Based on Encoder-Decoder CNN Structure 基于编解码器CNN结构的晶圆模式计数、检测与分类

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796856

Yu Lin

引用次数: 0

Mobile Remote Assistance with Augmented Reality Applied in a Power Distribution Utility: A Qualitative Study 基于增强现实的移动远程辅助在配电设施中的应用:定性研究

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796952

Paula Zenni Lodetti, Aguinaldo dos Santos, L. T. Hattori, E. G. Carvalho, M. A. Martins

引用次数: 0

Developing & Implementing a System of Rubrics for Assessing Interaction Design Students 开发和实施一个评估交互设计学生的标准系统

2022 Intermountain Engineering, Technology and Computing (IETC) Pub Date : 2022-05-01 DOI: 10.1109/ietc54973.2022.9796983

E. Oliver, Daniel Hatch

{"title":"Developing & Implementing a System of Rubrics for Assessing Interaction Design Students","authors":"E. Oliver, Daniel Hatch","doi":"10.1109/ietc54973.2022.9796983","DOIUrl":"https://doi.org/10.1109/ietc54973.2022.9796983","url":null,"abstract":"This paper is the continuation and conclusion of a study evaluating students’ creative works by full-time and adjunct faculty (previous study). The study addressed an interaction design program that previously lacked a uniform method for grading student assignments across courses. The first two phases of the study identified and validated issues that encompassed unclear expectations for completing and grading student assignments. Instructors also reported that significant time was required to grade student assignments. An intervention introduced a uniform system of rubrics designed to assess students in first-year interaction design courses. The rubrics integrated course competencies and program outcomes as the assessment criteria. Rubrics provided students and instructors a framework to determine the purpose and requirements of a specific assignment. The data collected included student assignment scores and the participants’ experiences through pre-and post-study surveys and interviews. The data helped answer if uniform grading rubrics can improve student performance based on scores, reduce the time spent grading by instructors, and improve inter-rater reliability amongst faculty members. Students and instructors who used the rubrics noted increased instructor feedback and overall academic achievement. The data revealed a degree of inter-rater reliability across two courses using the rubrics. This study increased the probability that using the same grading system would result in similar assignment scores across different instructors.","PeriodicalId":251518,"journal":{"name":"2022 Intermountain Engineering, Technology and Computing (IETC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134017821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1