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

{"title":"Deep Learning Approach to Predict Peak Floods and Evaluate Socioeconomic Vulnerability to Flood Events: A Case Study in Baltimore, MD, U.S.A","authors":"Ruoyu Zhang, Hyunglok Kim, Emily Lien, Diyu Zheng, L. Band, V. Lakshmi","doi":"10.1109/SIEDS52267.2021.9483782","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483782","url":null,"abstract":"As the intensity and frequency of storm events are projected to increase due to climate change, local agencies urgently need a timely and reliable framework for flood forecasting, downscale from watershed to street level in urban areas. Integrated with property data with various hydrometeorological data, the flood prediction model can also provide further insight into environmental justice, which will aid households and government agencies’ decision-making. This study uses deep learning (DL) methods and radar-based rainfall data to predict the inundated areas and analyze the property quickly and demographic data concerning stream proximity to provide a way to quantify socioeconomic impacts. We expect that our DL-based models will improve the accuracy of forecasting floods and provide a better picture of which communities bear the worst burdens of flooding, and encourage city officials to address the underlying causes of flood risk.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"43 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":"115856817","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":"Digitization of Surgical Flowsheets","authors":"Mary Blankemeier, Sarah Rambo, John Radossich, Charles Thompson, Donald Brown, Marcel Durieux, Christian Ndaribitse","doi":"10.1109/SIEDS52267.2021.9483747","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483747","url":null,"abstract":"Five billion people, from disproportionately low and middle-income countries, are unable to access safe, timely, and affordable surgical and anesthesia care [1]. Patients in Africa are twice as likely to die after surgery when compared with the global average for postoperative deaths [2]. Given most of this mortality happens after surgery, perioperative mortality rate (POMR) has been identified by the World Health Organization as a global measure of the quality of surgical procedures. Perioperative data collected during surgery can predict adverse surgical outcomes. Access to such data is essential for decreasing mortality rates and improving medical treatment. In many low and middle-income countries, data is often manually recorded on paper flowsheets, restricting the ability to discover medical trends and inhibiting easy and efficient data aggregation and analysis. Thus, systems put in place to digitize these flowsheets are key in utilizing data to improve overall healthcare. By streamlining the digitization of intraoperative flowsheets, more data will be collected while minimizing the time while optimizing the quality. In order to optimize the digitization process, the research team has made several improvements to the current system, including a complete redesign of the digital upload process in the form of a mobile app that integrates scanner functionality and upload capability into one convenient and efficient step, thereby reducing devices and platforms required to upload. This redesign also provides increased user feedback and corrects issues in which flowsheet uploads failed. In addition, improvements were made to the SARA (Scanning Apparatus for Remote Access). SARA is a wooden box designed to standardized the distance, lighting, and background for each scan, improving readability. Possible replacement power supplies and lighting sources are being examined for durability, ease of repair, and functionality. Additionally, usability testing and evaluation was completed to measure increases in successful task completion and decreases in time and steps required. The goal of this project is to design a system to digitize the information contained in surgical flowsheets at the University Teaching Hospital of Kigali in Rwanda in the most efficient and effective manner. To accomplish this goal, the research team reduced the time and devices needed to upload a surgical sheet by 78% and 50%, respectively. Hardware and software malfunctions were fixed, and the longevity of the system was improved as procedural checklists to upkeep and correctly utilize the system were implemented.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"45 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":"115986464","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":"A Novel Platform Design for Aircraft Noise Impact Assessment","authors":"Chuyang Yang, Zachary A. Marshall, John H. Mott","doi":"10.1109/SIEDS52267.2021.9483734","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483734","url":null,"abstract":"Mitigation of aircraft noise pollution is a core goal of managing environmental interactions and inherently aligns with the aim of reducing aviation emissions. As noise pollution adversely affects the operation and expansion of airports by restricting land zoning and flight patterns, developing precise noise generation and propagation models is imperative. Efforts to minimize the impact of aircraft noise are influenced by the accurate mapping of the geometric distribution of that noise. The Federal Aviation Administration (FAA) utilizes the Aviation Environmental Design Tool (AEDT) to model aircraft noise, emissions, and air quality consequences for regulatory compliance and system planning. Aircraft operations and fleet mix data are required when users execute AEDT to compute the noise exposure level. However, such data are difficult to obtain from non-towered airports that lack full-time air traffic facilities and personnel. Several airport operations estimation approaches developed by researchers have shown limitations in accuracy and cost-efficiency of deployment when tested, limiting their usefulness with regards to noise modeling. Meanwhile, tracking aircraft through onboard transponder data was validated as a cost-effective approach to estimate aircraft operations at non-towered airports.The authors designed a platform consisting of three modules. Flight operations and aircraft performance parameters can be estimated in the first module by deploying inexpensive hardware to collect aircraft transponder signals. The second module estimates aircraft noise levels by integrating information sources with the noise vs. power vs. distance (NPD) data from the EUROCONTROL Aircraft Noise and Performance (ANP) database. The third module visualizes airport noise impact based on a Geographic Information System (GIS) platform. Additionally, a risk assessment and a sustainability analysis are presented in this paper.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"5 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":"116168051","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":"Developing a Recommendation System for Collegiate Golf Recruiting","authors":"Michael Bassilios, Ava Jundanian, Joshua Barnard, Vienna Donnelly, Rachel Kreitzer, Stephen Adams, W. Scherer","doi":"10.1109/SIEDS52267.2021.9483777","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483777","url":null,"abstract":"In the world of college sports, the process of recruiting players is one of the most important tasks a coach must tackle. With only 6% of the 8 million high school athletes earning spots on NCAA teams, finding and selecting the right players can be incredibly challenging even with the availability of widespread data. Some sports, like football and basketball, have found great success using predictive analytics to estimate success in college. These efforts, however, have not yet been extended to other sports, such as golf. Given the vast amount of data available to the public on junior golfers, there is clear potential to bring analytics to college golf recruiting. We partnered with GameForge, a leading golf analytics company, to create a recommendation tool for college coaches, one that leverages the already existing data on high school and collegiate golfers and a variety of predictive models to display athletes we believe would best fit in a certain college program. A systems analysis approach was taken to find the factors that most accurately predict a high school player’s success in college golf. This was done with a variety of models including the forecasting of probability of a high school athlete being a top ranked college golfer, the finding of players with a similar performance to another desired player, and the predicting of a junior golfer's scoring performance and development during the remainder of their high school career and during college. Using these models, we identified several factors that are predictive of player similarity and performance. The research team iteratively developed these models to be used in conjunction with each other in order to provide meaningful, and understandable recommendations to a college coach on which players they should recruit to maximize success.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"13 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114091162","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":"Incentive Mechanisms for Acceptance and Adoption of Automated Systems","authors":"M. Flynn, H. M. Smitherman, Kristin Weger, Bryan L. Mesmer, Robert Semmens, Douglas Van Bossuyt, N. Tenhundfeld","doi":"10.1109/SIEDS52267.2021.9483740","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483740","url":null,"abstract":"The advancement of information technology has increased the prevalence of autonomous systems within day-today activities. Autonomous systems save time for users, performing set tasks with increased speed and efficiency while simultaneously providing financial benefits. However, one of the biggest issues faced by designers and decision makers is the acceptance and adoption of such technologies. As such, research has pulled from an established body of literature regarding incentive mechanisms, in order to motivate users to accept and adopt automated and autonomous systems. The object of this paper is to provide a brief literature review on incentive mechanisms, and subsequently provide design ideas for their inclusion. We will compare financial, social/reputation, and gamification-based incentive mechanisms and their relative efficacy on the changing of user behavior. Finally, we provide some avenues for future research that we believe to be particularly important which could prove fruitful.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"21 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":"122391853","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":"SAWBRID: SmArt WhiteBoard Replacement Interactive Device","authors":"John Beasley, John Burke, James F. Overby, Greg Shelor, Casey Thompson, A. Salman","doi":"10.1109/SIEDS52267.2021.9483726","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483726","url":null,"abstract":"The idea of attending a professor’s office hours seems very basic to the average college student. The beginning of each semester brings about a wave of invitations to visit each professor in their office, at the allotted time for the section of their class. Recent developments such as the growing prevalence of texting and email, as well as specific events such as the Covid-19 pandemic have brought the norm away from these in person meetings between students and professors, to the detriment of the students’ education. The SmArt WhiteBoard Replacement Interactive Device (SAWBRID) is an innovative solution composed of an interactive device with a Low-power screen that, through a user friendly mobile application, makes the facilitation of office hours and the student/professor interactions outside of the classroom far more flexible and simple. In whole, the project is centered around the individual professor, their schedule, and how that schedule is communicated. The SAWBRID sits in an accessible casing outside of the professor’s office, relaying information about their schedule, available time slots to be scheduled through the mobile application, and personalized messages. The device is self-updating whenever a change is detected in the professor’s schedule, or when they decide to update their personalized message. The student can access a professor’s schedule through the mobile application and schedule an appointment, which will place their initials in the selected time slot on both the mobile application and the SAWBRID. The professor has a different interface to interact with their SAWBRID from the mobile application giving them more control over their schedule, the personalized messages they want to display and other features. We use security services such as confidentiality and authentication throughout the system to protect user credentials, user data, and to ensure the privacy of the users. Our solution effectiveness and performance are evaluated through power measurements to determine the device’s ability to self-sustain for long periods of time and the ease of use.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"52 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133204482","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":"Understanding the Impact of COVID-19 on Economy and Environment in the Asia-Pacific Region","authors":"Rachel Bigelow, Reese Bowling, Shivani Das, Zach Dedas, Eric Jess, V. Lakshmi","doi":"10.1109/SIEDS52267.2021.9483783","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483783","url":null,"abstract":"The COVID-19 pandemic has provoked longstanding and competing interests of the economy and environment. In January 2020, countries across the globe began implementing various levels of safety measures to slow the spread of the virus. Safety measures have run the gamut of restrictions: physical distancing guidelines, proper handwashing practices, and the use of face masks are on the lower end of the restriction spectrum, while travel restrictions, business closures, and country-wide lockdowns are instances of more stringent measures. Policy responses have drastically differed among governments across the globe, but the economic strife has plagued countries regardless of their COVID-19 response plan. Lockdowns in the first half of 2020 impeded economic activity, leading to a reduction in industrial activity and hence emissions. During this time period, observations from publicly available satellite sensors have shown that concentrations of various atmospheric pollutants, nitrogen dioxide especially, have decreased. The Asia-Pacific region was no exception, with China, Japan, South Korea, Australia, and New Zealand all experiencing slowdown in growth and large reductions in various economic sectors. Using these five Asia-Pacific countries, we will analyze how government policy, lockdowns, and travel restrictions implemented during the COVID-19 outbreak have slowed economic growth in the transportation, manufacturing, and agriculture sectors, and in turn, impacted air quality and water quality. Conclusions and statistical significance of our analysis comparing coronavirus-related policies and their effect on economic growth and environmental health will help drive future decisions made by policymakers should another pandemic or similar global crisis arise.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"690 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133970258","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":"Application of Multi-Criteria Decision Making in Bioink Selection","authors":"Lily Rohrbach, P. Huebner","doi":"10.1109/SIEDS52267.2021.9483762","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483762","url":null,"abstract":"Bioprinting is a rapidly emerging area of study within Tissue Engineering and Regenerative Medicine (TERM) where live cells are be embedded in a solution (referred to as a bioink) and 3D printed into anatomically relevant geometries for in vivo implantation; this allows native tissues to regenerate better and faster. Most current research investigates the mechanical, rheological, and biological properties of bioinks, but few methods have been proposed to mathematically rank bioinks based on a set of application-focused, relevant criteria. In this study, we develop a general methodology to evaluate bioinks for the purpose of musculoskeletal tissue engineering, using multi-criteria decision making (MCDM) tools, including analytical hierarchy process (AHP), simple additive weighting (SAW), and technique for order of preference by similarity to ideal solution (TOPSIS). GelMA-alginate, dECM, PEG-fibrinogen, collagen, and HA were all evaluated using the criteria of cell viability, shear thinning, printability, degradation rate, storage ability, and cost. Results include a comparison matrix showing the relative importance of each criterion as well as a ranking of each selected bioink from each ranking method. Future research should focus on building upon the proposed model by considering a larger set of bioink alternatives and criteria to demonstrate the model’s ability to handle large datasets, as well as updating evaluations with more current data regarding the properties of bioinks.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"198 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":"134210543","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":"A Bayesian Hierarchical Model for Ranking Aggregation","authors":"Stephen C. Loftus, Sydney Campbell","doi":"10.1109/SIEDS52267.2021.9483757","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483757","url":null,"abstract":"Rankings—an ordering of items from best to worst—are a common way to summarize a group of items, often at an individual level. These ranks are ordinal data, and should not be acted on by standard mathematical operations such as averaging. Thus, combining these individual rankings to get a consensus can present a difficult challenge. In this paper we present a novel method of combining rankings via a Bayesian hierarchical model, using rankings and their corresponding ratings—an assessment of item quality—to create a data augmentation scheme similar to established literature. Simulations show that this method provides an accurate recovery of true rankings, particularly when the ranking system exhibits clustering within the structure. Additionally this method has the added benefit of being able to describe properties of the rankings, including how preferred one item is to another and the probability that an individual will rank one item higher than another.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"20 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":"134395534","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":"Comparison of Connected Automated Vehicle to Pedestrian Interaction Systems to Reduce Vehicle Waiting Times","authors":"Ryan Barnett, Christopher M Hume, Andrew Taylor","doi":"10.1109/SIEDS52267.2021.9483718","DOIUrl":"https://doi.org/10.1109/SIEDS52267.2021.9483718","url":null,"abstract":"As autonomous vehicle technology starts to become more common in daily life, a degree of uncertainty arises with respect to pedestrian safety. As the technology gets more and more advanced, there becomes greater possibility for lapses in connectivity and miscommunications between pedestrians and vehicles. Hence, it is important that society finds the best way for pedestrians to interact with all types of vehicles in order to keep them safe, in the midst of a continuous increase in pedestrian incidents. Thusly, the focus of this investigation is to determine the feasibility of crossing intersections reliant on pedestrian to vehicle connectivity. As vehicles increase in complexity with respect to their interaction with other vehicles, pedestrians, and the environment, intersections may not require physical infrastructure - autonomous vehicles may be built to recognize pedestrians and to stop accordingly, and signal timing may be periodically uploaded in the form of continuously changing datasets. Such intersections have ambiguous effects on pedestrian and vehicle interactions, partially due to the uncertainty of afore-mentioned connectivity dynamics. Connected and Autonomous Vehicles (CAVs) rely primarily on obstacle detection systems, a main connectivity dynamic between pedestrians and vehicles, to tell them to stop for pedestrians. These systems, many still deep in the development phase, may be flawed. This paper describes an experiment developed with the intention of comparing a traditional obstacle detection approach to pedestrian crossing with one in which vehicles stop based on pedestrians notifying them of their presence. More specifically, in order to cross, pedestrians must \"signal\" to vehicles that they are in the crossing area (in the real world, this could be done on a mobile phone) so that the vehicles will stop for them. The model, developed using Simio, outputs queue timing and density values for the vehicles and pedestrians. Data was gathered related to average wait times and flow of pedestrians and vehicles over a simulated time frame of a 4 week period. The results indicate that utilizing a pedestrian to vehicle communication framework, either in place of or in addition to traditional obstacle detection and avoidance systems, would prove beneficial in developing more efficient intersections.","PeriodicalId":426747,"journal":{"name":"2021 Systems and Information Engineering Design Symposium (SIEDS)","volume":"18 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":"122398771","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}