Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137799
Ruth De Souza, H. Saleem, Erin Nelson, Jonathan Bender
The objective of the Car Wash Project is to prevent people from using self serve open wash bays for long periods of time without payment, which costs car wash owners considerable revenue. The solution proposed by the team is designing a universal car wash deterrent system that can be customized to multiple different car wash designs and bay layouts. The deliverable is an installation kit that can be shipped and self-installed. The packaged kit will include an ultrasonic vehicle-detection sensor, an LED strobe light, an LED display board, and a water solenoid valve. If customers stay too long without paying, the strobe light will light up, and after a set countdown, the water valve will open and the sprinklers will turn on.Everything needed for the system will be included in the installation kit other than piping, cables, and wires. The team has successfully combined all the separate components into one operational circuit as well as getting the most suitable products for the device so it can run at optimal efficiency. We will display the installation kit, how the system operates, along with a schematic of electronics.
{"title":"Car Wash Deterrent System","authors":"Ruth De Souza, H. Saleem, Erin Nelson, Jonathan Bender","doi":"10.1109/SIEDS58326.2023.10137799","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137799","url":null,"abstract":"The objective of the Car Wash Project is to prevent people from using self serve open wash bays for long periods of time without payment, which costs car wash owners considerable revenue. The solution proposed by the team is designing a universal car wash deterrent system that can be customized to multiple different car wash designs and bay layouts. The deliverable is an installation kit that can be shipped and self-installed. The packaged kit will include an ultrasonic vehicle-detection sensor, an LED strobe light, an LED display board, and a water solenoid valve. If customers stay too long without paying, the strobe light will light up, and after a set countdown, the water valve will open and the sprinklers will turn on.Everything needed for the system will be included in the installation kit other than piping, cables, and wires. The team has successfully combined all the separate components into one operational circuit as well as getting the most suitable products for the device so it can run at optimal efficiency. We will display the installation kit, how the system operates, along with a schematic of electronics.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114027948","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137787
Rebecca Dollahite, Michael E. Duffy, B. Park
While automobiles are essential for enabling the daily lives of many Americans and businesses, they have caused significant public health concerns, including over 31,785 fatalities in 2022 from traffic crashes and generating 27% of the United States’ greenhouse gas emissions in 2020. It has been shown that mindful driving training reduces aggressive driving behaviors, which is expected to reduce crashes, fuel consumption, and greenhouse gas emissions.In this research, we work with the University of Virginia (UVA)'s Facilities Management (FM) group which monitors over 280 vehicles through GPS tracking software. The FM group started mindful driving training in March 2021 and has since completed training for nearly half of drivers. We started collecting and analyzing these vehicles' performance data, including harsh braking, hard acceleration, speed violation, seatbelt violation, fuel consumption, and idling time. We quantified the impacts of mindful driving using before and after analysis. The safety impact was assessed using delta changes in harsh braking, speed violation, seatbelt violation, and number of relative crashes and the sustainability impact was based on the changes in hard acceleration, fuel economy, and idling time. Our analyses showed that mindful driving training greatly improves sustainability with reduced fuel consumption and safety with reduced occurrences of safetyrelated violations.
{"title":"Quantifying the Benefits of Mindful Driving Training in Safety and Sustainability","authors":"Rebecca Dollahite, Michael E. Duffy, B. Park","doi":"10.1109/SIEDS58326.2023.10137787","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137787","url":null,"abstract":"While automobiles are essential for enabling the daily lives of many Americans and businesses, they have caused significant public health concerns, including over 31,785 fatalities in 2022 from traffic crashes and generating 27% of the United States’ greenhouse gas emissions in 2020. It has been shown that mindful driving training reduces aggressive driving behaviors, which is expected to reduce crashes, fuel consumption, and greenhouse gas emissions.In this research, we work with the University of Virginia (UVA)'s Facilities Management (FM) group which monitors over 280 vehicles through GPS tracking software. The FM group started mindful driving training in March 2021 and has since completed training for nearly half of drivers. We started collecting and analyzing these vehicles' performance data, including harsh braking, hard acceleration, speed violation, seatbelt violation, fuel consumption, and idling time. We quantified the impacts of mindful driving using before and after analysis. The safety impact was assessed using delta changes in harsh braking, speed violation, seatbelt violation, and number of relative crashes and the sustainability impact was based on the changes in hard acceleration, fuel economy, and idling time. Our analyses showed that mindful driving training greatly improves sustainability with reduced fuel consumption and safety with reduced occurrences of safetyrelated violations.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000860","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137833
M. George, A. D. Roveri, A. S. Weitz, A. Azan, C. T. Ogunmola, W. Pluer, M. W. Wittstein
Balance assessments are a common method of measuring vestibular and proprioceptive function as well as lower-body strength. Aside from observational clinician analysis of balance exercises, more detailed and conclusive assessments are typically performed using large, nonmobile, and expensive immersive systems. The purpose of this project is to replace existing balance testing equipment and provide an alterable environment for clinical postural control evaluation to enable development of personalized physical rehabilitation methods. To assess and train postural control, balance, and strength, this project incorporated real-time center of pressure data of a user on an on-floor force plate as the user completed a unique balance assessment in a Virtual Reality (VR) environment. Leaning or other movements altering the center of pressure location correspondingly caused movement through the VR environment. The VR environment was designed to assist ankle injury rehabilitation and included tasks to evaluate and compare mobility of the ankles. Quantitative measurements of 2-dimensional range of motion were coded to be recorded and coupled with clinician observational analysis for physical therapy applications. Lag between the force plate and VR device was minimal to prevent motion-sickness, and users could navigate through the VR environment, including tight areas, using planted sway movements with ease. This project developed novel physical rehabilitation methods using quantitative postural control analysis and can be further expanded upon to improve numerous physiological or vestibular conditions.
{"title":"No Space? No Problem. Accessible Balance Control Using VR Player Movement*","authors":"M. George, A. D. Roveri, A. S. Weitz, A. Azan, C. T. Ogunmola, W. Pluer, M. W. Wittstein","doi":"10.1109/SIEDS58326.2023.10137833","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137833","url":null,"abstract":"Balance assessments are a common method of measuring vestibular and proprioceptive function as well as lower-body strength. Aside from observational clinician analysis of balance exercises, more detailed and conclusive assessments are typically performed using large, nonmobile, and expensive immersive systems. The purpose of this project is to replace existing balance testing equipment and provide an alterable environment for clinical postural control evaluation to enable development of personalized physical rehabilitation methods. To assess and train postural control, balance, and strength, this project incorporated real-time center of pressure data of a user on an on-floor force plate as the user completed a unique balance assessment in a Virtual Reality (VR) environment. Leaning or other movements altering the center of pressure location correspondingly caused movement through the VR environment. The VR environment was designed to assist ankle injury rehabilitation and included tasks to evaluate and compare mobility of the ankles. Quantitative measurements of 2-dimensional range of motion were coded to be recorded and coupled with clinician observational analysis for physical therapy applications. Lag between the force plate and VR device was minimal to prevent motion-sickness, and users could navigate through the VR environment, including tight areas, using planted sway movements with ease. This project developed novel physical rehabilitation methods using quantitative postural control analysis and can be further expanded upon to improve numerous physiological or vestibular conditions.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129936890","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137796
A. Boumaiza
Solar energy devices in homes and businesses eliminate the energy supplier-consumer divide. Energy prosumers have new roles. Blockchain technology allows prosumers, consumers, energy, and amenities to exchange energy in a low-cost, safe, and novel way using cipher encoding and wide-ranging arrangement proof. This job builds and operates an unknown and exact Agent-Based Modeling (ABM) model and Geographic Information System (GIS) to handle energy dealing in a domestic neighborhood market for Qatar's Education City Community Housing. (ECCH). The method for reproducing minor market spatial and timing aspects collects and analyzes energy usage data. These models help you build an automated energy trading system and understand trading markets. GPS data and an agent-based design can be used to study community-based property market deals by quickly changing parameters. High-performance calculations will improve large-scale simulation prototypes with many legislators, providing more accurate results and an accessible environment to study the energy blockchain community's impact on Qatar's economy, society, and technology.
{"title":"Energy Trading Market Simulator Blockchain-based","authors":"A. Boumaiza","doi":"10.1109/SIEDS58326.2023.10137796","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137796","url":null,"abstract":"Solar energy devices in homes and businesses eliminate the energy supplier-consumer divide. Energy prosumers have new roles. Blockchain technology allows prosumers, consumers, energy, and amenities to exchange energy in a low-cost, safe, and novel way using cipher encoding and wide-ranging arrangement proof. This job builds and operates an unknown and exact Agent-Based Modeling (ABM) model and Geographic Information System (GIS) to handle energy dealing in a domestic neighborhood market for Qatar's Education City Community Housing. (ECCH). The method for reproducing minor market spatial and timing aspects collects and analyzes energy usage data. These models help you build an automated energy trading system and understand trading markets. GPS data and an agent-based design can be used to study community-based property market deals by quickly changing parameters. High-performance calculations will improve large-scale simulation prototypes with many legislators, providing more accurate results and an accessible environment to study the energy blockchain community's impact on Qatar's economy, society, and technology.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121106818","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137904
Nishtha Sathi, Taylor Yeazitzis, Kristin Weger, Bryan L. Mesmer
Affordability has become an objective for organizations to provide products and services with accurate positioning in the target market, with profitable pricing containing a value proposition that meets customers’ expectations, needs, wants, and requirements, that is delivered as fast as required, and containing excellent quality and reliability. The aim of this study was to understand employee perceptions regarding cultural wants and barriers regarding affordability. A survey was distributed to employees of an aerospace organization to gain insight into employee perceptions of affordability characteristics. Moreover, a qualitative thematic analysis was performed to analyze why employees may want an affordability culture and potential cultural barriers to affordability that may exist within an organization. Upon preliminary analysis, several categories were identified when prompted regarding why an affordability culture is wanted, including financial factors, business factors, image management factors, and factors of effectiveness and efficiency. Categories identified when prompted regarding cultural barriers included organizational resistance, workforce and workflow barriers, organizational culture barriers, process barriers, and financial barriers. Future research directions should continue to refine overall survey design, research methodology, and consider external factors such as respondent occupational role status on perception. The generation of these coding schemes may aid in identifying areas of opportunity for organizations in terms of overcoming cultural barriers to affordability as well as benefits of having an affordability culture. This contributes to a growing body of knowledge surrounding affordability culture within organizational settings.
{"title":"Employee Perceptions of Cultural Wants and Barriers to Affordability in an Organization","authors":"Nishtha Sathi, Taylor Yeazitzis, Kristin Weger, Bryan L. Mesmer","doi":"10.1109/SIEDS58326.2023.10137904","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137904","url":null,"abstract":"Affordability has become an objective for organizations to provide products and services with accurate positioning in the target market, with profitable pricing containing a value proposition that meets customers’ expectations, needs, wants, and requirements, that is delivered as fast as required, and containing excellent quality and reliability. The aim of this study was to understand employee perceptions regarding cultural wants and barriers regarding affordability. A survey was distributed to employees of an aerospace organization to gain insight into employee perceptions of affordability characteristics. Moreover, a qualitative thematic analysis was performed to analyze why employees may want an affordability culture and potential cultural barriers to affordability that may exist within an organization. Upon preliminary analysis, several categories were identified when prompted regarding why an affordability culture is wanted, including financial factors, business factors, image management factors, and factors of effectiveness and efficiency. Categories identified when prompted regarding cultural barriers included organizational resistance, workforce and workflow barriers, organizational culture barriers, process barriers, and financial barriers. Future research directions should continue to refine overall survey design, research methodology, and consider external factors such as respondent occupational role status on perception. The generation of these coding schemes may aid in identifying areas of opportunity for organizations in terms of overcoming cultural barriers to affordability as well as benefits of having an affordability culture. This contributes to a growing body of knowledge surrounding affordability culture within organizational settings.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116135349","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137782
A. Castro, R. Quillian, S. Zajec
With net-zero emission goals by 2050 becoming the standard in climate policy initiatives at regional, national, and international scales, policymakers and business leaders are left with the questions of how to implement change. Achieving these emission goals requires quantitative tools for understanding how potential policies impact net emissions and existing economic and industrial systems. Computable general equilibrium (CGE) models are often used as a tool for analyzing the response of an economy to policy, technology, or other shocks, but CGE models are not capable of techno-economic modeling of the renewable energy and carbon dioxide removal technologies that will need to be deployed to achieve warming limits. Integrated models, in contrast, such as the Global Change Analysis Model (GCAM) are able to simulate emerging technologies but lack the resolution and regional fidelity of CGE models. In this study CGE and GCAM are soft linked to analyze the effect of implementing high, low, and zero carbon taxes on the electricity generation technologies and labor demand for these technologies by 2060. We find that the implementation of a carbon tax results in significant growth in labor and investment in the electricity sector, with a large proportion of this growth in the wind and solar industries.
{"title":"Quantifying the Socio-Economic Impacts of Decarbonization Policy using Integrated Assessment Modeling","authors":"A. Castro, R. Quillian, S. Zajec","doi":"10.1109/SIEDS58326.2023.10137782","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137782","url":null,"abstract":"With net-zero emission goals by 2050 becoming the standard in climate policy initiatives at regional, national, and international scales, policymakers and business leaders are left with the questions of how to implement change. Achieving these emission goals requires quantitative tools for understanding how potential policies impact net emissions and existing economic and industrial systems. Computable general equilibrium (CGE) models are often used as a tool for analyzing the response of an economy to policy, technology, or other shocks, but CGE models are not capable of techno-economic modeling of the renewable energy and carbon dioxide removal technologies that will need to be deployed to achieve warming limits. Integrated models, in contrast, such as the Global Change Analysis Model (GCAM) are able to simulate emerging technologies but lack the resolution and regional fidelity of CGE models. In this study CGE and GCAM are soft linked to analyze the effect of implementing high, low, and zero carbon taxes on the electricity generation technologies and labor demand for these technologies by 2060. We find that the implementation of a carbon tax results in significant growth in labor and investment in the electricity sector, with a large proportion of this growth in the wind and solar industries.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122302416","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137801
Madeleine D Jones, Aubrey Winger, Christian Wernz, Jonathan Michel, Sihang Jiang, A. Zhou, Ebony J. Hilton, M. Zemmel, S. Sengupta, Kierah Barnes, Johanna J. Loomba, Donald E. Brown
National COVID Cohort Collaborative (N3C) enclave provides health researchers with a rich dataset from 76 contributing clinical sites. However, the harmonized data lacks certain details available in sites’ local electronic health records (EHRs), such as the principal diagnosis code for reported emergency department (ED) and inpatient (IP) visits. This means a principal diagnosis of COVID-19 can only be inferred by applying a time relationship between the visit dates and the record of infection and diagnosis. The purpose of this study is to perform a single-site sensitivity analysis modeled after an N3C study examining potential race-ethnicity based bias in hospitalization decisions during COVID-19 related ED visits. The analytic pipeline was first run in N3C, then reproduced locally with N3C data fields from a single-site, and finally run a third time using the additional principal diagnosis data. We find the effects of patient comorbidities and race-ethnicity groups on direct IP admittance to be consistent among the three cohorts with varying levels of statistical significance due to different sample sizes.
{"title":"Investigating the Impact of Temporal Labeling of Emergency Department Visits for COVID-19: Comparing Healthcare Disparities Analyses Using Comprehensive, Single-Site Data with National COVID Cohort Collaborative (N3C) Data","authors":"Madeleine D Jones, Aubrey Winger, Christian Wernz, Jonathan Michel, Sihang Jiang, A. Zhou, Ebony J. Hilton, M. Zemmel, S. Sengupta, Kierah Barnes, Johanna J. Loomba, Donald E. Brown","doi":"10.1109/SIEDS58326.2023.10137801","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137801","url":null,"abstract":"National COVID Cohort Collaborative (N3C) enclave provides health researchers with a rich dataset from 76 contributing clinical sites. However, the harmonized data lacks certain details available in sites’ local electronic health records (EHRs), such as the principal diagnosis code for reported emergency department (ED) and inpatient (IP) visits. This means a principal diagnosis of COVID-19 can only be inferred by applying a time relationship between the visit dates and the record of infection and diagnosis. The purpose of this study is to perform a single-site sensitivity analysis modeled after an N3C study examining potential race-ethnicity based bias in hospitalization decisions during COVID-19 related ED visits. The analytic pipeline was first run in N3C, then reproduced locally with N3C data fields from a single-site, and finally run a third time using the additional principal diagnosis data. We find the effects of patient comorbidities and race-ethnicity groups on direct IP admittance to be consistent among the three cohorts with varying levels of statistical significance due to different sample sizes.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132398706","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137774
S. Nayhouse, S. Chadha, P. Hourican, C. Moore, N. Bezzo
Recent advancements in unmanned aerial vehicles (UAVs), has allowed their deployment for numerous applications like aerial photography, infrastructure inspection, search and rescue, and surveillance. Despite the potential for full autonomy, many applications still necessitate human operators for navigating complex environments and decision-making. Existing solutions often employ high-precision and simple sensors like 2-D or 3-D LiDAR, which may provide more data than necessary and contribute to increased system complexity and cost. To address these challenges and bridge the gap between full autonomy and human-controlled UAVs, this work develops a shared-autonomy framework for UAVs, leveraging lightweight, low-cost 1-D LiDAR sensors combined with mobility behaviors to obtain performance comparable to more advanced 2-D/3-D LiDAR sensors while minimizing energy, computation overhead, and weight. Our framework includes a novel state machine method that exploits the UAV mobility to compensate for the limitations of 1-D LiDAR sensors, ensuring safety and obstacle avoidance through a physics-based algorithm that transitions between teleoperation and autonomous mode as needed based on environmental conditions and safety-critical issues. Experimental validations on real UAVs demonstrates the effectiveness of this shared autonomy scheme in complex environments, and the system is further generalized to larger UAVs and prototyped with a custom sensor configuration and onboard obstacle avoidance.
{"title":"A General Framework for Human-Drone Interaction under Limited On-board Sensing","authors":"S. Nayhouse, S. Chadha, P. Hourican, C. Moore, N. Bezzo","doi":"10.1109/SIEDS58326.2023.10137774","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137774","url":null,"abstract":"Recent advancements in unmanned aerial vehicles (UAVs), has allowed their deployment for numerous applications like aerial photography, infrastructure inspection, search and rescue, and surveillance. Despite the potential for full autonomy, many applications still necessitate human operators for navigating complex environments and decision-making. Existing solutions often employ high-precision and simple sensors like 2-D or 3-D LiDAR, which may provide more data than necessary and contribute to increased system complexity and cost. To address these challenges and bridge the gap between full autonomy and human-controlled UAVs, this work develops a shared-autonomy framework for UAVs, leveraging lightweight, low-cost 1-D LiDAR sensors combined with mobility behaviors to obtain performance comparable to more advanced 2-D/3-D LiDAR sensors while minimizing energy, computation overhead, and weight. Our framework includes a novel state machine method that exploits the UAV mobility to compensate for the limitations of 1-D LiDAR sensors, ensuring safety and obstacle avoidance through a physics-based algorithm that transitions between teleoperation and autonomous mode as needed based on environmental conditions and safety-critical issues. Experimental validations on real UAVs demonstrates the effectiveness of this shared autonomy scheme in complex environments, and the system is further generalized to larger UAVs and prototyped with a custom sensor configuration and onboard obstacle avoidance.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124322402","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137802
Nicolas Khattar, Taja M Washington, Arnold Mai, Lili Malinowski, Andrew N. Bowman, Khwanjira Phumphid, V. Sobral, J. Goodall
The increasing frequency and severity of storms due to climate change is magnifying flooding impacts. The Internet of Things (IoT) revolution promises more ubiquitous sensing capabilities. When applied to water systems, IoT has the potential to increase insights into how hydrologic systems respond to extreme rainfall events, aiding in emergency management efforts before and during extreme weather events. In this paper, we provide a way to translate forecasted extreme rainfall events into flood impacts and optimize an IoT sensor network for real-time flood monitoring. First, we created a hydrologic model for a study area: the Dell Pond watershed in Charlottesville, Virginia. We used ArcGIS to obtain parameters for the model from geospatial datasets such as elevation, soils, land use, and land cover. The parameters obtained from ArcGIS, alongside the National Oceanic and Atmospheric Administration (NOAA) rainfall precipitation data, and readings from the IoT water sensors were combined to create a hydrologic model in HEC-HMS. To optimize the IoT sensor monitoring network and explore systems integration of the model and sensors, we first created models to determine the battery life of a sensor in the network, since the IoT sensors are battery powered with no additional power harvesting capability. We also deployed a new water level and a soil moisture sensor using the IoT network for the study watershed. The methods for estimating the battery life of the IoT sensor and the prototype deployment can be built on in future research to advance next-generation flood management systems that integrate computational models and IoT monitoring networks.
{"title":"Hydrologic Modeling and System Optimization for IoT Flood Management","authors":"Nicolas Khattar, Taja M Washington, Arnold Mai, Lili Malinowski, Andrew N. Bowman, Khwanjira Phumphid, V. Sobral, J. Goodall","doi":"10.1109/SIEDS58326.2023.10137802","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137802","url":null,"abstract":"The increasing frequency and severity of storms due to climate change is magnifying flooding impacts. The Internet of Things (IoT) revolution promises more ubiquitous sensing capabilities. When applied to water systems, IoT has the potential to increase insights into how hydrologic systems respond to extreme rainfall events, aiding in emergency management efforts before and during extreme weather events. In this paper, we provide a way to translate forecasted extreme rainfall events into flood impacts and optimize an IoT sensor network for real-time flood monitoring. First, we created a hydrologic model for a study area: the Dell Pond watershed in Charlottesville, Virginia. We used ArcGIS to obtain parameters for the model from geospatial datasets such as elevation, soils, land use, and land cover. The parameters obtained from ArcGIS, alongside the National Oceanic and Atmospheric Administration (NOAA) rainfall precipitation data, and readings from the IoT water sensors were combined to create a hydrologic model in HEC-HMS. To optimize the IoT sensor monitoring network and explore systems integration of the model and sensors, we first created models to determine the battery life of a sensor in the network, since the IoT sensors are battery powered with no additional power harvesting capability. We also deployed a new water level and a soil moisture sensor using the IoT network for the study watershed. The methods for estimating the battery life of the IoT sensor and the prototype deployment can be built on in future research to advance next-generation flood management systems that integrate computational models and IoT monitoring networks.","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123804898","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}
Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137808
Thomas J. Gwilliam, Salem T. Keleta, Maggie D. Salomonsky, Vinay V. Vangala, Mia E. Varghese, M. Burkett, W. Scherer
Since the first use of the term "systems engineering" in the 1940’s, the discipline has progressed significantly as the complexity of systems and the development of technology continue to increase. This paper examines the current state and evolution of systems engineering and systems engineering education. The paper first identifies the current state of systems engineering by recognizing systems engineers' roles, responsibilities, and expectations. Following the current state of systems engineering, the changes needed are addressed through multiple frameworks and skill sets that will be critical to the evolving industry. The paper also explores the future of systems education focusing on content, content delivery, cost, and student cooperation. The analysis suggests that universities could adjust their curriculum to better align with the demands of the industry. The paper concludes with an overview of potential solutions designed to meet the needs of systems engineers by preparing them for the growing and multifaceted industry demands of the future.
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