Pub Date : 2023-04-27DOI: 10.1109/SIEDS58326.2023.10137863
Garry V. Hilutin, Alwin M. Lunas, Fernan D. Dematera, Zendy D. Mañago, Laurence Albert D. Ayo, Pee Jay N. Gealone
Electricity is a critical component of modern society, powering various processes including academic institutions. Fueled by the necessity of advancement, the Bicol University - Legazpi East Campus has undergone significant infrastructure improvements in the past decade, leading to a higher demand for electricity. This increase in electricity demand, however, has a negative impact on the electrical system reliability within the campus as evident in frequent and unwarranted power interruptions that sometimes happen twice a week. Because of the challenge, this research is conducted to assess and prepare proposed improvements on the electrical distribution system of Bicol University-Legazpi East Campus. The campus covers the College of Engineering, College of Industrial Technology, Institute of Design and Architecture, and the Research Development and Extension Centers. The research consists of three (3) parts: (i) inventory of the existing system; (ii) technical analysis involving short circuit and voltage drop calculations; and (iii) development of an improved distribution system. The inventory of the existing system involves the calculation of current and future electrical loads based on the approved Comprehensive Land Use Plan (CLUP) of the campus, as well as the identification of transformers and distribution lines, which are then used to create the Single Line Diagram (SLD) of the campus. A thorough technical analysis is conducted to evaluate the system's compliance with the Philippine Electrical Code (PEC), specifically in terms of short-circuit analysis and voltage drop calculation results. Based on the findings of the first two parts, a proposed new electrical distribution system for the campus is developed and subjected to the same technical analysis (short-circuit and voltage drop calculation) to determine its compliance with the PEC. The analysis revealed that the current electrical distribution system of the campus does not meet PEC requirements for maintaining proper voltage levels in the buildings it serves and cannot effectively support existing and future loads with the existing transformers. As a result, a proposed new distribution system has been developed, which includes several strategically located energy centers (transformer banks) to ensure consistent voltage levels for current and future buildings identified in the CLUP. Extensive technical analysis of the proposed system confirmed that it complies with PEC regulations, ensuring the safety and reliability of the system.
{"title":"Electrical Assessment of Bicol University - Legazpi East Campus, Philippines","authors":"Garry V. Hilutin, Alwin M. Lunas, Fernan D. Dematera, Zendy D. Mañago, Laurence Albert D. Ayo, Pee Jay N. Gealone","doi":"10.1109/SIEDS58326.2023.10137863","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137863","url":null,"abstract":"Electricity is a critical component of modern society, powering various processes including academic institutions. Fueled by the necessity of advancement, the Bicol University - Legazpi East Campus has undergone significant infrastructure improvements in the past decade, leading to a higher demand for electricity. This increase in electricity demand, however, has a negative impact on the electrical system reliability within the campus as evident in frequent and unwarranted power interruptions that sometimes happen twice a week. Because of the challenge, this research is conducted to assess and prepare proposed improvements on the electrical distribution system of Bicol University-Legazpi East Campus. The campus covers the College of Engineering, College of Industrial Technology, Institute of Design and Architecture, and the Research Development and Extension Centers. The research consists of three (3) parts: (i) inventory of the existing system; (ii) technical analysis involving short circuit and voltage drop calculations; and (iii) development of an improved distribution system. The inventory of the existing system involves the calculation of current and future electrical loads based on the approved Comprehensive Land Use Plan (CLUP) of the campus, as well as the identification of transformers and distribution lines, which are then used to create the Single Line Diagram (SLD) of the campus. A thorough technical analysis is conducted to evaluate the system's compliance with the Philippine Electrical Code (PEC), specifically in terms of short-circuit analysis and voltage drop calculation results. Based on the findings of the first two parts, a proposed new electrical distribution system for the campus is developed and subjected to the same technical analysis (short-circuit and voltage drop calculation) to determine its compliance with the PEC. The analysis revealed that the current electrical distribution system of the campus does not meet PEC requirements for maintaining proper voltage levels in the buildings it serves and cannot effectively support existing and future loads with the existing transformers. As a result, a proposed new distribution system has been developed, which includes several strategically located energy centers (transformer banks) to ensure consistent voltage levels for current and future buildings identified in the CLUP. Extensive technical analysis of the proposed system confirmed that it complies with PEC regulations, ensuring the safety and reliability of the system.","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":"123068841","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/SIEDS58326.2023.10137795
Devon M. Zavacky, Anna M. Bustamante, Hayden C. Ratliff, R. Valdez
Over the last 30 years, outpatient infusion centers have been constructed across the United States to meet rising demand for cancer care. While outpatient care is now commonplace, these clinics still struggle to achieve patient throughput levels that match demand for their services. Our study examined the infusion workflow at a central Virginia infusion center whose patient throughput rate in fiscal year 2022 fell in the second quartile of infusion centers nationwide. We collated qualitative stakeholder interviews and in-person observations with the center’s quantitative patient appointment data, to conduct a holistic analysis. Next, we evaluated current throughput levels with process mapping and descriptive statistics. Finally, we used statistical analysis to propose a strategy for future throughput improvement that included a data-based pilot test. Our analysis confirmed a need for process improvement at the infusion center. We found that patient idle times, drug types, and staffing appeared to be the key factors impacting throughput. Additionally, our results showed that appointment buffer times and drug pre-mixing were the most leverageable factors on patient throughput. Next steps should focus on enhancing our predictive modeling and implementing our proposed throughput improvement solutions.
{"title":"Optimizing Outpatient Cancer Infusion Center Throughput Using a Systems-Based Approach","authors":"Devon M. Zavacky, Anna M. Bustamante, Hayden C. Ratliff, R. Valdez","doi":"10.1109/SIEDS58326.2023.10137795","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137795","url":null,"abstract":"Over the last 30 years, outpatient infusion centers have been constructed across the United States to meet rising demand for cancer care. While outpatient care is now commonplace, these clinics still struggle to achieve patient throughput levels that match demand for their services. Our study examined the infusion workflow at a central Virginia infusion center whose patient throughput rate in fiscal year 2022 fell in the second quartile of infusion centers nationwide. We collated qualitative stakeholder interviews and in-person observations with the center’s quantitative patient appointment data, to conduct a holistic analysis. Next, we evaluated current throughput levels with process mapping and descriptive statistics. Finally, we used statistical analysis to propose a strategy for future throughput improvement that included a data-based pilot test. Our analysis confirmed a need for process improvement at the infusion center. We found that patient idle times, drug types, and staffing appeared to be the key factors impacting throughput. Additionally, our results showed that appointment buffer times and drug pre-mixing were the most leverageable factors on patient throughput. Next steps should focus on enhancing our predictive modeling and implementing our proposed throughput improvement solutions.","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":"124797704","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/SIEDS58326.2023.10137810
Genevieve Allen, Sin Lin, Asher Llewellyn, A. Pillai, Elynore Zarzyski, S. Singh, J. Quinn
There is unequivocal evidence that the Earth is warming at an unprecedented rate, and that the burning of fossil fuels is the principal cause. This situation is fostering a growing interest in shifting global energy production toward renewable energy sources such as solar, wind, and hydropower. Hydropower plays an important role in meeting global carbon mitigation targets and eventually achieving net-zero carbon emissions, especially within the Mid-Columbia (Mid-C) energy market in the Pacific Northwest (PNW), where hydropower currently comprises 50-65% of its generation. However, other renewable energy sources in the Mid-C market and connected California Independent System Operator (CAISO) power grid are expanding significantly, particularly solar power in California (CA). Thus, hydropower operations at plants within the connected Mid-C market may need to be re-operated to balance the more intermittent supply from renewables in CA so that energy supplies are in phase with demands. In this study, our goal is to re-design hydropower operations in the Columbia River Basin (CRB) of the PNW to achieve a 95% renewable energy power grid in CA and the PNW by the year 2035. This will require not only filling supply gaps from other renewable energy sources, but also balancing other conflicting objectives to be fulfilled by the dam operations, such as minimizing environmental spill violations, maximizing hydropower production, maximizing flood protection, and maximizing economic benefits. We use multi-objective optimization to design alternative operations at four CRB dams to balance these objectives over the historical record. We then simulate their operations over alternative possible future climate change and energy development scenarios to find a recommended set of operations that are robust to these uncertainties. The energy scenarios include the National Renewable Energy Lab’s (NREL) Mid-Case Energy Scenario for the years 2025, 2030 and 2035, which achieve 95% Renewables by 2035, as well as a business as usual (BAU), or base case, scenario represented by the historical energy mix. The four climate scenarios are made from combinations of low or high warming and low or high streamflow for three overlapping time steps: 2020-2029, 2025-2034, and 2030-2039. Our optimization is able to find a robust compromise policy that balances the system’s conflicting objectives well both now and in the future. We close by exploring how this policy coordinates operations across system reservoirs, which could inform reservoir operators in the CRB about how to adapt operations as the system changes in the future.
{"title":"Adapting Hydropower Operations to Support Renewable Energy Transitions and Freshwater Sustainability in the Columbia River Basin","authors":"Genevieve Allen, Sin Lin, Asher Llewellyn, A. Pillai, Elynore Zarzyski, S. Singh, J. Quinn","doi":"10.1109/SIEDS58326.2023.10137810","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137810","url":null,"abstract":"There is unequivocal evidence that the Earth is warming at an unprecedented rate, and that the burning of fossil fuels is the principal cause. This situation is fostering a growing interest in shifting global energy production toward renewable energy sources such as solar, wind, and hydropower. Hydropower plays an important role in meeting global carbon mitigation targets and eventually achieving net-zero carbon emissions, especially within the Mid-Columbia (Mid-C) energy market in the Pacific Northwest (PNW), where hydropower currently comprises 50-65% of its generation. However, other renewable energy sources in the Mid-C market and connected California Independent System Operator (CAISO) power grid are expanding significantly, particularly solar power in California (CA). Thus, hydropower operations at plants within the connected Mid-C market may need to be re-operated to balance the more intermittent supply from renewables in CA so that energy supplies are in phase with demands. In this study, our goal is to re-design hydropower operations in the Columbia River Basin (CRB) of the PNW to achieve a 95% renewable energy power grid in CA and the PNW by the year 2035. This will require not only filling supply gaps from other renewable energy sources, but also balancing other conflicting objectives to be fulfilled by the dam operations, such as minimizing environmental spill violations, maximizing hydropower production, maximizing flood protection, and maximizing economic benefits. We use multi-objective optimization to design alternative operations at four CRB dams to balance these objectives over the historical record. We then simulate their operations over alternative possible future climate change and energy development scenarios to find a recommended set of operations that are robust to these uncertainties. The energy scenarios include the National Renewable Energy Lab’s (NREL) Mid-Case Energy Scenario for the years 2025, 2030 and 2035, which achieve 95% Renewables by 2035, as well as a business as usual (BAU), or base case, scenario represented by the historical energy mix. The four climate scenarios are made from combinations of low or high warming and low or high streamflow for three overlapping time steps: 2020-2029, 2025-2034, and 2030-2039. Our optimization is able to find a robust compromise policy that balances the system’s conflicting objectives well both now and in the future. We close by exploring how this policy coordinates operations across system reservoirs, which could inform reservoir operators in the CRB about how to adapt operations as the system changes in the future.","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":"115049990","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/SIEDS58326.2023.10137844
John Raymond B. Barajas, Pee Jay N. Gealone, Marben S. Ramos, Nico O. Aspra, Arpon T. Lucero, Oliver M. Padua
This paper leverages on the power of clustering algorithms to determine potential deficiencies in mathematics competencies of incoming first year engineering students who are graduates of the recently implemented K to 12 program. To achieve this objective, a total of 23 prerequisite mathematics competencies in Algebra, Advance Algebra, Plane and Spherical Trigonometry, Analytical Geometry, and Solid Mensuration common to engineering programs offered in the country were identified from the approved policies, standards, and guidelines published by the Commission on Higher Education. A survey instrument was developed to assess the self-rated proficiencies of participating respondents in these competencies using a 5-point liker scale (5 being the highest). Results of the clustering analysis showed the formation of four distinct groups of students based on their self-rated proficiencies: (1) above average, (2) average, (3) below average, and (4) poor. It was found that participants generally gave low self-ratings to Advanced Algebra and Analytic Geometry prerequisites. Although it is expected for non-STEM graduates of the K to 12 program to struggle in engineering programs, further analysis of the clusters revealed that about half of the STEM respondents self-rated their proficiencies in the below average and poor clusters. Though it may be argued that this finding may need to be explored further in the absence of ground truth labels, diagnostic examination scores garnered by the participants validate this observation. In conclusion, this study highlights the need for universities to implement targeted intervention programs to address the identified deficiencies and ensure the success of their enrollees in engineering programs.
{"title":"Identifying Competency Gaps Among Engineering Students in a Post K-12 Setting Through the Use of Clustering Algorithms","authors":"John Raymond B. Barajas, Pee Jay N. Gealone, Marben S. Ramos, Nico O. Aspra, Arpon T. Lucero, Oliver M. Padua","doi":"10.1109/SIEDS58326.2023.10137844","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137844","url":null,"abstract":"This paper leverages on the power of clustering algorithms to determine potential deficiencies in mathematics competencies of incoming first year engineering students who are graduates of the recently implemented K to 12 program. To achieve this objective, a total of 23 prerequisite mathematics competencies in Algebra, Advance Algebra, Plane and Spherical Trigonometry, Analytical Geometry, and Solid Mensuration common to engineering programs offered in the country were identified from the approved policies, standards, and guidelines published by the Commission on Higher Education. A survey instrument was developed to assess the self-rated proficiencies of participating respondents in these competencies using a 5-point liker scale (5 being the highest). Results of the clustering analysis showed the formation of four distinct groups of students based on their self-rated proficiencies: (1) above average, (2) average, (3) below average, and (4) poor. It was found that participants generally gave low self-ratings to Advanced Algebra and Analytic Geometry prerequisites. Although it is expected for non-STEM graduates of the K to 12 program to struggle in engineering programs, further analysis of the clusters revealed that about half of the STEM respondents self-rated their proficiencies in the below average and poor clusters. Though it may be argued that this finding may need to be explored further in the absence of ground truth labels, diagnostic examination scores garnered by the participants validate this observation. In conclusion, this study highlights the need for universities to implement targeted intervention programs to address the identified deficiencies and ensure the success of their enrollees in engineering programs.","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":"122888010","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/SIEDS58326.2023.10137885
John Nguyen, Caroline Joseph, Bailey Richardson, Roy Hayes, Ricardo Pakula, Robert Koester
Around 100,000 persons go missing annually in the US. Many factors go into predicting the location of a lost person, like geography, climate, age, health status, gender, disabilities, walking speed, and more. Technology and machine learning can advance the success and speed of search and rescue (SAR) missions. Agent-based modeling is a popular method for predicting the location of a lost person. A recently published paper by Hashimoto et al. demonstrated the ability to tune an agent-based model's parameters so that its emergent behavior statistically matches the lost hiker data in International Search and Rescue Database.Hashimoto et al.'s work assumed that a lost person randomly selects a reorienting behavior at every time step. We build upon the work performed by Hashimoto et al. by adding the concept of inertia as a parameter. We hypothesize that a lost person will likely continue their reorienting behavior for some time before changing. We used International Search and Rescue Incident Database SAR incidents with geolocation and Sava et al.'s scoring methodology to compare our inertia-enabled agent-based model with Hashimoto et al.'s model and validate our results. We find our model outperforms Hashimoto et al. within our testing set.
{"title":"Finding a Needle in the Haystack: Predicting the Location of Lost People Using Agent-Based Modeling and Behavioral Inertia","authors":"John Nguyen, Caroline Joseph, Bailey Richardson, Roy Hayes, Ricardo Pakula, Robert Koester","doi":"10.1109/SIEDS58326.2023.10137885","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137885","url":null,"abstract":"Around 100,000 persons go missing annually in the US. Many factors go into predicting the location of a lost person, like geography, climate, age, health status, gender, disabilities, walking speed, and more. Technology and machine learning can advance the success and speed of search and rescue (SAR) missions. Agent-based modeling is a popular method for predicting the location of a lost person. A recently published paper by Hashimoto et al. demonstrated the ability to tune an agent-based model's parameters so that its emergent behavior statistically matches the lost hiker data in International Search and Rescue Database.Hashimoto et al.'s work assumed that a lost person randomly selects a reorienting behavior at every time step. We build upon the work performed by Hashimoto et al. by adding the concept of inertia as a parameter. We hypothesize that a lost person will likely continue their reorienting behavior for some time before changing. We used International Search and Rescue Incident Database SAR incidents with geolocation and Sava et al.'s scoring methodology to compare our inertia-enabled agent-based model with Hashimoto et al.'s model and validate our results. We find our model outperforms Hashimoto et al. within our testing set.","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":"128680301","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/SIEDS58326.2023.10137776
Ritavash Chowdhury, Michael Chung, Dylan Gnagey, Jason Forsyth
Proper weightlifting form is essential to prevent injuries, particularly for beginners. Our GymSense project is a computer system that monitors and provides feedback on critical aspects of form during the bench press exercise, including grip width, shoulder distance, shoulder abduction angle, tilt, and back arch. The system employs force and camera sensors, ArUco markers, and the BlazePose algorithm to measure the key parameters of form and provides feedback to the user during and after each set. The feedback loop allows users to identify areas for improvement and reduce the risk of injury. We conducted a user study to assess the accuracy of the first iteration of the system. We found through the user study that our system is not as accurate as a personal trainer, but our project presents the initial phase of an alternative approach for obtaining feedback on a user’s bench press form.
{"title":"GymSense: Exploration in Measuring Bench Press Form Using Sensor Technology","authors":"Ritavash Chowdhury, Michael Chung, Dylan Gnagey, Jason Forsyth","doi":"10.1109/SIEDS58326.2023.10137776","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137776","url":null,"abstract":"Proper weightlifting form is essential to prevent injuries, particularly for beginners. Our GymSense project is a computer system that monitors and provides feedback on critical aspects of form during the bench press exercise, including grip width, shoulder distance, shoulder abduction angle, tilt, and back arch. The system employs force and camera sensors, ArUco markers, and the BlazePose algorithm to measure the key parameters of form and provides feedback to the user during and after each set. The feedback loop allows users to identify areas for improvement and reduce the risk of injury. We conducted a user study to assess the accuracy of the first iteration of the system. We found through the user study that our system is not as accurate as a personal trainer, but our project presents the initial phase of an alternative approach for obtaining feedback on a user’s bench press form.","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":"127737618","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/SIEDS58326.2023.10137815
E. Goggins, C. Kennedy, M. Nguyen, A. Pore, A. Rissmeyer, C. Smith, G. J. Gerling
Migrating an enterprise network to a cloud-based platform can help a company realize the benefits of increased automation, security, scalability, and usability. However, completing the migration can be tedious and time-consuming, so as to require an experienced network engineer. Many small and medium-sized enterprises do not internally employ such experts. Moreover, since cloud-based migration is only completed once, companies of all sizes opt to hire a professional network engineer as a consultant. During the migration process, companies often face communication challenges with the hired consultant. The work herein describes the design of a project management tool for cloud network migration to be used as an interface between the enterprise and network engineer. Its design was based upon extensive evaluation of information and functional requirements, and the establishment of the user flow. The design of the user interfaces realizes three important features: a task-based structure that centralizes resources, a graphical map for evaluating the status of dependent tasks, and embedded learning resources for furthering knowledge of networking. In this way, the design of the interface seeks to effectively bridge gaps in communication between enterprises and network engineers.
{"title":"Developing a Project Management Tool for Network Migration to Improve Transparency between Enterprises and Network Experts","authors":"E. Goggins, C. Kennedy, M. Nguyen, A. Pore, A. Rissmeyer, C. Smith, G. J. Gerling","doi":"10.1109/SIEDS58326.2023.10137815","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137815","url":null,"abstract":"Migrating an enterprise network to a cloud-based platform can help a company realize the benefits of increased automation, security, scalability, and usability. However, completing the migration can be tedious and time-consuming, so as to require an experienced network engineer. Many small and medium-sized enterprises do not internally employ such experts. Moreover, since cloud-based migration is only completed once, companies of all sizes opt to hire a professional network engineer as a consultant. During the migration process, companies often face communication challenges with the hired consultant. The work herein describes the design of a project management tool for cloud network migration to be used as an interface between the enterprise and network engineer. Its design was based upon extensive evaluation of information and functional requirements, and the establishment of the user flow. The design of the user interfaces realizes three important features: a task-based structure that centralizes resources, a graphical map for evaluating the status of dependent tasks, and embedded learning resources for furthering knowledge of networking. In this way, the design of the interface seeks to effectively bridge gaps in communication between enterprises and network engineers.","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":"124325463","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/SIEDS58326.2023.10137770
Mallory R. Poff, Maggie E. Cox, Carleigh M. Wood, Jackson T. Abele, W. Pluer
The Mississippi Delta encompasses 3.0 million acres, of which 2.2 million are irrigated for staple crops such as corn, soybeans, rice, and catfish. The Mississippi River Valley Alluvial Aquifer (MRVAA) is used to irrigate this area; over the past 30 years, it has decreased 20 feet in depth, requiring efforts to increase aquifer recharge and surface water availability for agriculture demands. A weir constructed in a river pools water upstream, promoting aquifer recharge through infiltration and increasing the availability of surface water withdrawals. Weir placement is important to the success of aquifer recharge. In partnership with the Yazoo Mississippi Delta Joint Water Management District (YMD), we created a scalable weir design guide that will allow for broad implementation and increased water availability across the Delta region. The site for the first weir was selected as an area characteristic of the Delta region and will serve as an example for subsequent designs. The supplemental design guide will allow for further weir implementation in the Delta region by providing the necessary steps for a weir design process. Inputs will be easily accessible for non-engineers and the outputs will be designs for Professional Engineer approval. By providing YMD with this weir guide, they will be able to design and install weirs more quickly and cheaply than before, supporting agriculture and groundwater resources in the Mississippi Delta.
{"title":"Site-Specific and Generalized Weir Design for the Mississippi Delta *","authors":"Mallory R. Poff, Maggie E. Cox, Carleigh M. Wood, Jackson T. Abele, W. Pluer","doi":"10.1109/SIEDS58326.2023.10137770","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137770","url":null,"abstract":"The Mississippi Delta encompasses 3.0 million acres, of which 2.2 million are irrigated for staple crops such as corn, soybeans, rice, and catfish. The Mississippi River Valley Alluvial Aquifer (MRVAA) is used to irrigate this area; over the past 30 years, it has decreased 20 feet in depth, requiring efforts to increase aquifer recharge and surface water availability for agriculture demands. A weir constructed in a river pools water upstream, promoting aquifer recharge through infiltration and increasing the availability of surface water withdrawals. Weir placement is important to the success of aquifer recharge. In partnership with the Yazoo Mississippi Delta Joint Water Management District (YMD), we created a scalable weir design guide that will allow for broad implementation and increased water availability across the Delta region. The site for the first weir was selected as an area characteristic of the Delta region and will serve as an example for subsequent designs. The supplemental design guide will allow for further weir implementation in the Delta region by providing the necessary steps for a weir design process. Inputs will be easily accessible for non-engineers and the outputs will be designs for Professional Engineer approval. By providing YMD with this weir guide, they will be able to design and install weirs more quickly and cheaply than before, supporting agriculture and groundwater resources in the Mississippi Delta.","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":"129084967","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/SIEDS58326.2023.10137806
Prachi Sadekar, Jackson Baitinger, Sean Conway, Matthew Clark, Afsaneh Doryab
The human body follows a natural circadian rhythm, influencing sleep timing, cognitive abilities, and physical energy. Many people live contrary to this biological rhythm, leading to reduced cognitive performance and sleep loss, with college students especially vulnerable to these effects. Currently, there are limited technologies that assist with circadian rhythm alignment, despite the potential for health and productivity benefits. This paper investigates the feasibility of circadian-based activity scheduling for college students. We develop three circadian-based activity schedules that are increasingly personalized: (1) common activity timing according to circadian rhythms research, (2) timing curation according to sociodemographic context, and (3) timing adjustment based on individuals’ specific constraints and context. In a three-week study, we explore users’ responses to each scheduling approach and the potential impact on subjective wellbeing and overall performance. Our results show that participants could follow more activity recommendations as the level of personalization increased. Participants who followed the circadian schedules reported significantly improved well-being than others. However, reported wellbeing was not significantly correlated with increased personalization of timings. These observations provide useful insights into design requirements for circadian-aware recommendation systems.
{"title":"Personalization in Circadian Rhythm-Based Event Scheduling","authors":"Prachi Sadekar, Jackson Baitinger, Sean Conway, Matthew Clark, Afsaneh Doryab","doi":"10.1109/SIEDS58326.2023.10137806","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137806","url":null,"abstract":"The human body follows a natural circadian rhythm, influencing sleep timing, cognitive abilities, and physical energy. Many people live contrary to this biological rhythm, leading to reduced cognitive performance and sleep loss, with college students especially vulnerable to these effects. Currently, there are limited technologies that assist with circadian rhythm alignment, despite the potential for health and productivity benefits. This paper investigates the feasibility of circadian-based activity scheduling for college students. We develop three circadian-based activity schedules that are increasingly personalized: (1) common activity timing according to circadian rhythms research, (2) timing curation according to sociodemographic context, and (3) timing adjustment based on individuals’ specific constraints and context. In a three-week study, we explore users’ responses to each scheduling approach and the potential impact on subjective wellbeing and overall performance. Our results show that participants could follow more activity recommendations as the level of personalization increased. Participants who followed the circadian schedules reported significantly improved well-being than others. However, reported wellbeing was not significantly correlated with increased personalization of timings. These observations provide useful insights into design requirements for circadian-aware recommendation systems.","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":"132313988","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/SIEDS58326.2023.10137893
Casey Calixto, J. Chavez, Arsalan Heydarian, Abid Hussain, Kathryn E. Owens, Alex Repak
Construction sites are well known for being significant sources of air and noise pollution, impacting both individuals who work on those sites and surrounding communities. Construction projects on the Grounds of the University of Virginia are no exception. On-Grounds projects are located within one mile of UVA Health, meaning any pollutants, construction waste or noise from the project may impact a large number of people and individuals in educational, workplace, residential, and healthcare settings. While the presence of dust and other sources of pollution has been observed across jobsites, existing site management techniques do not provide opportunities to understand the causes or extent of various pollution events. The purpose of this project is to develop a prototype environmental monitoring dashboard which incorporates real-time data from air and noise quality sensors installed on-site, and link the data to specific construction activities on a detailed as-built schedule. The development of this type of monitoring system has become much more feasible in recent years due to the increased availability of affordable and reliable sensors and this project shows this type of technology can be utilized in a construction context. Sensors are installed in high traffic locations on-site including on the first two floors the building under construction and in the jobsite trailer to specifically track noise, CO2, VOC, PM2.5, temperature and humidity levels at 5 minute frequency. Information related to on-site activities is collected through an analysis of construction documents, like a detailed schedule and plan sheets. Spatial trends found included the first floor of the site having higher PM2.5 levels, PM2.5 levels decreasing from the roadside to trailer side, and the second floor having higher noise levels. Time trends include lower noise and PM2.5 levels at noon and higher levels between 8AM-11AM and 1PM-3PM. Lastly, there the middle first floor sensor PM2.5 levels was found to be significantly correlated with a masonry subcontractor’s daily hour with an R squared value of .6125.
{"title":"Developing An Environmental Monitoring Dashboard to Identify Construction Activities That Affect On-Site Air Quality and Noise","authors":"Casey Calixto, J. Chavez, Arsalan Heydarian, Abid Hussain, Kathryn E. Owens, Alex Repak","doi":"10.1109/SIEDS58326.2023.10137893","DOIUrl":"https://doi.org/10.1109/SIEDS58326.2023.10137893","url":null,"abstract":"Construction sites are well known for being significant sources of air and noise pollution, impacting both individuals who work on those sites and surrounding communities. Construction projects on the Grounds of the University of Virginia are no exception. On-Grounds projects are located within one mile of UVA Health, meaning any pollutants, construction waste or noise from the project may impact a large number of people and individuals in educational, workplace, residential, and healthcare settings. While the presence of dust and other sources of pollution has been observed across jobsites, existing site management techniques do not provide opportunities to understand the causes or extent of various pollution events. The purpose of this project is to develop a prototype environmental monitoring dashboard which incorporates real-time data from air and noise quality sensors installed on-site, and link the data to specific construction activities on a detailed as-built schedule. The development of this type of monitoring system has become much more feasible in recent years due to the increased availability of affordable and reliable sensors and this project shows this type of technology can be utilized in a construction context. Sensors are installed in high traffic locations on-site including on the first two floors the building under construction and in the jobsite trailer to specifically track noise, CO2, VOC, PM2.5, temperature and humidity levels at 5 minute frequency. Information related to on-site activities is collected through an analysis of construction documents, like a detailed schedule and plan sheets. Spatial trends found included the first floor of the site having higher PM2.5 levels, PM2.5 levels decreasing from the roadside to trailer side, and the second floor having higher noise levels. Time trends include lower noise and PM2.5 levels at noon and higher levels between 8AM-11AM and 1PM-3PM. Lastly, there the middle first floor sensor PM2.5 levels was found to be significantly correlated with a masonry subcontractor’s daily hour with an R squared value of .6125.","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":"125396965","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}
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