2021 Systems and Information Engineering Design Symposium (SIEDS)最新文献

{"title":"Understanding Public Attitudes Toward COVID-19 with Twitter","authors":"Jae Hyun Lee","doi":"10.1109/SIEDS52267.2021.9483708","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483708","url":null,"abstract":"Coronavirus disease 2019 (COVID-19) has become a part of our everyday life in the year of 2020. Many people have turned to online social media platforms to share what they think and how they feel about the sudden impact the pandemic has brought upon us. This project aims to study public attitudes toward COVID-19 on Twitter, a popular social network platform. In particular, it focuses on discovering what issues around COVID-19 people are discussing, why they are interested in such topics, and how their emotions have evolved over time. The study further seeks to reveal potential associations between the breakout and any hidden idea previously unknown to the general public. The dataset was created by collecting approximately 150,000 tweets with keywords or hashtags related to COVID-19 over a course of four weeks with Python and Twitter API. A comprehensive analysis of the tweets was performed using natural language processing methodologies including topic modeling, sentiment analysis, and word embedding. The results suggest that many people may be failing to practice appropriate safety measures to stop the spread, despite their high interests in the COVID-19 crisis. In other words, their proactive online actions are not influencing their offline, real-life behaviors.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131981043","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}

{"title":"Integrated Carbon Capture and Utilization Evaluation for U.S. Microbreweries","authors":"Monica Uribe-Francisco, Olivia Hoerle, Joshua A. Groover, Olivia Zarroli","doi":"10.1109/SIEDS52267.2021.9483714","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483714","url":null,"abstract":"The brewing process for beer production both utilizes and emits carbon dioxide (CO2). Instead of capturing and cleaning CO2 produced in the process, most microbreweries emit it into the atmosphere. Microbreweries have the potential to save money and reduce their carbon footprint by capturing, cleaning, and reusing CO2 from the fermentation process instead of purchasing it from an outside supplier. CO2 capture and cleaning systems are now commercially available but are costly. Given the financial drawback that microbreweries face, a decision support tool (DST) is developed with a dashboard that aims to provide a feasibility assessment for implementing a specific carbon capture and utilization system (CCUS). The dashboard has an ease of use and accessibility and provides relevant information for a wide range of variables: direct and indirect costs and benefits to perform assessments including life cycle cost-benefit analysis for the CCUS, sensitivity analysis, and more. The DST uses testing and validation through expert elicitation and simulation. Its design relies on system simulation software Vensim for the development of a back-end equation derivation. The front-end is hosted on a user-friendly dashboard. Further testing and validation can be conducted to further improve the frontend design and usability of the system.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115170798","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}

{"title":"Designing a Replicable Data Infrastructure for Education Research","authors":"Jordan Machita, Taylor Rohrich, Yusheng Jiang, Yiran Zheng","doi":"10.1109/SIEDS52267.2021.9483729","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483729","url":null,"abstract":"The field of education research suffers from a lack of replication of existing research studies. SERA (The Special Education Research Accelerator) is a proposed crowdsourcing platform being developed by a research team at the University of Virginia’s School of Education that intends to help provide a solution by enabling large-scale replication of research studies in special education. In this paper, we present our design and implementation of a cloud-based data pipeline for a research study that could serve as a model for SERA. Cloud-based design considerations include: financial cost, technical feasibility, security concerns, automation capabilities, reproducibility, and scalability [1] [17]. We have designed an architectural frame-work that practitioners in education research can use to host their studies in the cloud and take advantage of automation, reproducibility, transparency, and accessibility. Implementation of our platform design includes automating the data extraction and cleaning, populating the database, and performing analytics and tracking. Additionally, the project includes the development of a web-facing API for researchers to query the database with no SQL knowledge necessary as well as a web-facing dashboard to present select information and metrics to the applied research team. Our data pipeline is hosted on Amazon Web Services (AWS), which provides functionality for automation, storage, database hosting, and APIs. We present this architecture to demonstrate how data could flow through the pipeline of SERA to achieve the goals of large-scale replication research.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127198949","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}

{"title":"Crafting an Effective Portfolio in User Experience Design","authors":"G. J. Gerling, S. L. Riggs, Seongkook Heo, P. Apostolellis, Logan D. Clark, Courtney C. Rogers","doi":"10.1109/SIEDS52267.2021.9483784","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483784","url":null,"abstract":"In careers involving user interface/user experience (UI/UX) design, an effective portfolio is key for showcasing one’s skills and knowledge to potential employers and collaborators. In this workshop, participants will gain insights into the fundamentals of UI/UX design, elements of effective portfolio design, and tools available to create a portfolio. This will be a highly interactive session as participants will interact with faculty and graduate students as well as with each other. Participants will be given the opportunity to have their pre-existing portfolio reviewed by the faculty and graduate student presenters in addition to members of the Human Factors and Ergonomics Society student chapter at the University of Virginia.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121780175","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}

{"title":"Information Retrieval Techniques for Automated Policy Review","authors":"Summer Chambers, Kaleb M Shikur, Stephen Morris","doi":"10.1109/SIEDS52267.2021.9483780","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483780","url":null,"abstract":"In this paper we adapt standard information retrieval techniques to a novel task, the mandatory regulatory review of public comments on proposed rule changes. The vast number of public comments exceeds the responsible agency’s ability to manually review in the time allowed. Therefore, the agency requires an automated approach to efficiently sort and process the comments. To rank the public comments’ relevance to rule sections, we implement a vector space model and compare the results to experts’ reviews. We perform experiments over several indexing techniques to improve semantic relevance, splitting the regulatory document based on textual formatting, text length, and a hybrid method combining these two techniques. To improve the accuracy of our predictions, we test various synonym lists generated from a domain-specific ontology, as well as variations of standard stopword lists. By applying the relevance search as a multi-class classification problem, we find the method that most closely matches human reviews, achieving respective normalized discounted cumulative gain and mean average precision scores of 0.83 and 0.75 on our test data set.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122018701","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}

{"title":"Assessing the Feasibility of Microgrid Supported Open Hydroponics (MSOHCC) for A Resilient Fresh Food Supply in SIDS","authors":"Henry C Quach, Hannah Hiscott, Harrison Mazanec, S. Mehta","doi":"10.1109/SIEDS52267.2021.9483713","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483713","url":null,"abstract":"Small island developing states (SIDS) are extremely susceptible to the damages brought upon by intensifying climate change such as hurricanes and typhoons whose intensities have been exacerbated by higher storm surges due to sea level rise and by more intense winds due to higher ocean surface temperatures in the tropics. Hurricanes can severely damage domestic food production on SIDS while simultaneously compromising the infrastructure for food imports. According to the Food and Agriculture Organization of the United Nations (2017), almost every SIDS imports over 60% of their food supply and over 50% of SIDS imports over 80%. In some SIDS, as much as 95% of the food consumed is imported (Food and Agriculture Organization, 2008).As such, SIDS present a case study of a region that is extremely vulnerable to food insecurity due to intensifying climate change, decreasing amounts of arable land, decreasing availability of freshwater resources, and increasing global population, which all threaten the global food system (supply, production, processing, distribution, and consumption) due to disruptions in conventional crop cultivation (CCC). Our goal is to assess the potential for Microgrid Supported Open Hydroponic Crop Cultivation (MSOHCC) to be an effective complement to current food security initiatives in SIDS. As part of this overarching goal, we will start by determining how Hydroponic Crop Cultivation (HCC) can be utilized as an alternative to CCC in providing food security. We will then determine how MSOHCC can promote sustainable agriculture specifically in SIDS by providing climate resilience and energy efficient solutions. We will finally determine how MSOHCC can deliver economic opportunity to local SIDS economies by giving local residents the ability to produce locally grown food.The project team will grow lettuce seeds in a prototype MSOHCC unit that is powered by a solar panel. The growing conditions will be akin to those of the conditions that may be encountered in SIDS. The results will be compared to those of common lettuce yields from CCC methods to see if MSOHCC can be used as an alternative and/or as a supplement to CCC. For the MSOHCC unit itself, the team will measure the amount of lettuce harvested (kg), water used (L), energy used (kW), and land area utilized (sq. m). These results will be compared to those of lettuce yields from CCC.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130651358","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}

{"title":"Analyzing the Role of Digital Communication Channels in Debt Collection","authors":"P. Halsey, Charles T. Putnam, Aditi Rajagopal, Keith Wilson, Oliver Schaer","doi":"10.1109/SIEDS52267.2021.9483751","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483751","url":null,"abstract":"Recent changes in federal US regulations allowed debt collection agencies to expand their channels of communication from physical letters and phone calls only, to adopt digital communication channels including emails and SMS text messages. With changing demographics, debt collection companies stand to gain substantially if they can improve when and how they communicate with their account holders, both in driving more payments and in saving money through the reduced cost of the digital channels. This study explores the data provided by a leading debt collection agency on their debt holders. One of the key issues is that there is a limited understanding of the extent to which the new channels are affecting customer behaviors and payments in terms of frequency and timing. To answer these questions, we apply statistical models analyzing the impact of the various communication channels on the probability that a debtor pays and how much of their outstanding debt that they pay. Initial analysis is based on A/B testing of the various customer segments and whether their payment activity increased. We then draw insights on the channel and the timing of communication on the amount of revenue earned by the agency using an adstock-like model. Modeling communication is key to understand and better manage debt collection, increasing the likelihood of payment while indicating potential for saving costs and improve customer satisfaction.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129049338","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}

{"title":"Online Review Content Moderation Using Natural Language Processing and Machine Learning Methods : 2021 Systems and Information Engineering Design Symposium (SIEDS)","authors":"Alicia Doan, Nathan England, Travis Vitello","doi":"10.1109/SIEDS52267.2021.9483739","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483739","url":null,"abstract":"With the ubiquity of Internet-based words-of-mouth to inform decisions on various products and services, people have become reliant on the authenticity of website reviews. These reviews may be manually evaluated for publishability onto a website, however increasing volumes of user-submitted content may strain a website’s resources for accurate content moderation. Recognizing the important for patients to receive authentic reviews of cosmetic surgery procedures, we considered a corpus of 523,564 user-submitted reviews to the RealSelf.com website spanning the dates of 2018-01-01 through 2020-05-31. Prior binary classifications of \"published\" or \"unpublished\" were applied to these reviews by the RealSelf content moderation team. Textual and behavioral machine learning models were developed in this study to predict the classification of RealSelf’s reviews. An ensemble model, constructed from the top-performing textual and behavioral models in this study, was found to have a classification accuracy of 82.9 percent.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125564695","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}

{"title":"Forecasting the 2020 Presidential Election: a Comparison of Methods","authors":"Matthew Thomas, Chad Sopata, B. Rogers, Spencer Marusco","doi":"10.1109/SIEDS52267.2021.9483773","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483773","url":null,"abstract":"Accurate forecasts of U.S. Presidential elections are not only central to political journalism, but are used by campaigns to formulate strategy, impact financial markets, and aid businesses planning for the future. However, evidenced by the 2016 and 2020 elections, forecasting the election remains a challenging endeavor. Our review of methodologies revealed three discrete approaches: polling-based, demographic and economic fundamentals-based, and sentiment-based. We sought to identify which advantages each approach offers. We built on past research to adopt a novel forecast model that combines a weighted average of a hierarchical Bayesian fundamentals model and a Bayesian polling model. Our results indicated problems with polling-based methods because of inaccuracies in the polls, and better-than-anticipated accuracy in the fundamentals-only model.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114615198","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}

{"title":"Hazard Analysis of Large Cargo Delivery UAVs Under the Chinese Air Traffic Control System","authors":"Daoyi Li, Yuzhao Qiang, John H. Mott","doi":"10.1109/SIEDS52267.2021.9483732","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483732","url":null,"abstract":"The mountainous landscape in western China provides cargo delivery unmanned aerial vehicles (UAVs) with a potentially enormous market, and Chinese logistics companies are developing and testing prototypes of such UAVs. Some prototypes, for example, the Feihong-98 by SF-express, may enter service in 2021. Despite the rapid development of heavy UAVs, the construction of associated infrastructures and the formulation of corresponding laws and regulations are disturbingly backlogged: lack of airports in western China limits the operation of the UAVs, and there are only basic regulations regarding operation and maintenance as of 2019. We analyzed China’s current air traffic control (ATC) system, relevant regulations, conditions of general aviation (GA) airports, automatic dependent surveillance-broadcast (ADS-B) systems, and cellular networks, and found existing problems in the systems, including inadequate airspace classification and workload distribution. We also conducted failure mode and effect analysis (FMEA) over UAVs and control stations to better analyze the problems. Based on the information we obtained and on China’s social and political conditions, we explored solutions that provide a preliminary outlook for a new ATC system targeting heavy delivery UAVs. Such solutions include reassigning air traffic control duties and applying 5G cellular technologies in air traffic surveillance and management.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134620138","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}