B. Mcmahon, Mallory Draeger, N. Ferguson, Haley Moberg, E. Barrella
{"title":"Multi-modal transportation optimization of a local corridor","authors":"B. Mcmahon, Mallory Draeger, N. Ferguson, Haley Moberg, E. Barrella","doi":"10.1109/SIEDS.2014.6829926","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829926","url":null,"abstract":"The objective of this project is to redesign a one-mile section of the South Main Street Corridor in Harrisonburg, Virginia into a multimodal one that feasibly and safely integrates motor vehicles, bicyclists, and pedestrian traffic. Traditional traffic engineering practices emphasize optimizing vehicular traffic movement while treating pedestrian and bicyclist traffic movements as constraints. The focus of this research is to develop a way to maximize the capacity of existing right-of-way for all three traffic movements simultaneously, using a common metric of person-trips. Starting with standard equations from the Highway Capacity Manual for modal capacity of an intersection approach, the objective function for an optimization problem is developed. The objective function is the sum of capacity for each traffic movement measured in person-trips/hour, which normalizes the metrics. The input variables are flow rates for each movement that can vary based on scenario but cannot exceed their respective saturation flow rates. The outputs, or key design variables, are number of sublanes, which are unique to each traffic movement and define the geometry of the travel way. Combining all the sublane-widths results in the total width of the travel way that is constrained by the existing width of right-of-way. Therefore, through varying the flow rate per mode, different scenarios are evaluated that represent status quo, and shifts in corridor use. All other variables in the capacity equation are held constant. Based on the constraints, the objective function will yield a feasible region for which maximization of intersection efficiency will be found. The resultant combination of sublanes for each mode of transportation can then be implemented into the redesign model. This will alow for the most efficient flow of people through the intersection, regardless of mode choice, and could help promote policies and street design that prioritize alternatives to vehicular travel.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124572692","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}
Sarah Melville, Garrett Kastl, Christy A. R. Licklider
{"title":"Systems thinking applied to slavery","authors":"Sarah Melville, Garrett Kastl, Christy A. R. Licklider","doi":"10.1109/SIEDS.2014.6829902","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829902","url":null,"abstract":"This study utilizes soft system dynamics methodology to analyze modern-day slavery in order to increase understanding and communicate the complexities of slavery. The authors collaborated with Free The Slaves (FTS), a Washington D.C.-based nongovernmental organization, in order to gain feedback throughout the modeling process. FTS activists conduct frontline work and have an expertise in understanding how people become susceptible to slavery, victims of slavery, how they are freed, and how they can become slave-proof or highly unlikely to be susceptible to slavery. The authors are currently creating a base macro model of the variables that affect how a community first becomes susceptible to slavery, which will theoretically represent any community in the world. This model will then be tested using assessment data collected by FTS on the North and South Kivu Regions of the Democratic Republic of the Congo (DRC). This analysis of the DRC may include slavery's roots, geography, growth, magnitude, supply chain of the mining and movement of conflict minerals, the role of law and local organizations, and an overlay of how FTS affects the system. While the ultimate goal for this research is to create proposals for desirable and culturally feasible changes that can reduce the extent of slavery in the North and South Kivu Regions of the DRC, this paper focuses on the first stages of analysis and the base model of the factors that make a community vulnerable to slavery. This paper recommends areas for future research and discussion on how to build further upon the base model.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116970929","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}
Johnathon Peruski, Carrie Lacy, W. Goethel, M. Boegner, Jack Byers, Henry Gorog, P. Beling
{"title":"Systemic Risk in the United States banking industry","authors":"Johnathon Peruski, Carrie Lacy, W. Goethel, M. Boegner, Jack Byers, Henry Gorog, P. Beling","doi":"10.1109/SIEDS.2014.6829913","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829913","url":null,"abstract":"This project examines the Sustainability and Systemic Risk Index (SSRI) as a new macroeconomic index for the United States banking industry. The SSRI measures the aggregate level of risk across all federally insured banks and indicates the industry's sensitivity to systemic events. Since the 2008 recession, the government and the public have searched for ways to analyze elevated levels of risk to prevent future recessions or financial collapses, and this index hopes to address those concerns. The focus of this study was to examine the SSRI as a leading indicator of banking risk and determine the index's relationship with other macroeconomic variables. The SSRI has been compiled for every quarter since 1984, so time series analyses were performed. Additionally, simple and vector autoregressive models were created to assess the relationships between the SSRI and economic indicators. Finally, hidden Markov models were created to examine how relationships changed during different states of the economy, particularly in conditions pre-and post-2008. A two state hidden Markov approach provides the most revealing and intuitive model to interpret changing market risk. The results of these comparisons yielded a statistically significant ability to detect risk. The preliminary simple and vector autoregressive models show that the SSRI is significantly correlated with factors such as 90-day Treasury bill rates, unemployment, commercial loans, and the consumer price index. The complexity of these modeling techniques presents a barrier to understanding for non-engineers. The team will utilize visualization techniques to present the results in an accessible form for individuals without a background in advanced statistics. These techniques will follow best design principles for clarity of graphics and intuitively explain the underlying models.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115971027","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":"SAGE urban operations tool suite methodology","authors":"J. Egan, D. Eo, M. Hughes, Jason Lee","doi":"10.1109/SIEDS.2014.6829889","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829889","url":null,"abstract":"As the US Army transitions to a regionally aligned architecture, analysts are seeking new and innovative geospatial applications to inform the operations planning process for unfamiliar terrain. In this paper, we outline our systems approach used to develop a suite of geospatial analysis tools used to plan military operations in the urban environment as part of a larger research effort to develop tactical geospatial tools for the US Army (Situational Awareness Geospatially Enabled (SAGE)). This paper describes the iterative stakeholder analysis used to accurately identify operational needs, requirements, capability gaps and associated importance, and the comprehensive methodology used to generate the suite of tools. This research was unique in that we simultaneously developed a recommended suite of tools in addition to a formalized geospatial tool development methodology for the clients' later use. This paper describes the development and application of this methodology which categorically decomposed military operations, aligned stakeholder requirements with existing capabilities, and architected new geospatial capabilities consistent with the existing geospatial program architecture. Key to the developed methodology is that it produced geospatial tools which capitalized upon previously developed technologies, maintained the program's operational theme, and logically developed capabilities which directly satisfied requirements.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126868079","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":"Design of a cyber security framework for ADS-B based surveillance systems","authors":"S. Amin, Tyler Clark, Rennix Offutt, K. Serenko","doi":"10.1109/SIEDS.2014.6829910","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829910","url":null,"abstract":"The need for increased surveillance due to increase in flight volume in remote or oceanic regions outside the range of traditional radar coverage has been fulfilled by the advent of space-based Automatic Dependent Surveillance - Broadcast (ADS-B) Surveillance systems. ADS-B systems have the capability of providing air traffic controllers with highly accurate real-time flight data. ADS-B is dependent on digital communications between aircraft and ground stations of the air route traffic control center (ARTCC); however these communications are not secured. Anyone with the appropriate capabilities and equipment can interrogate the signal and transmit their own false data; this is known as spoofing. The possibility of this type of attacks decreases the situational awareness of United States airspace. The purpose of this project is to design a secure transmission framework that prevents ADS-B signals from being spoofed. Three alternative methods of securing ADS-B signals are evaluated: hashing, symmetric encryption, and asymmetric encryption. Security strength of the design alternatives is determined from research. Feasibility criteria are determined by comparative analysis of alternatives. Economic implications and possible collision risk is determined from simulations that model the United State airspace over the Gulf of Mexico and part of the airspace under attack respectively. The ultimate goal of the project is to show that if ADS-B signals can be secured, the situational awareness can improve and the ARTCC can use information from this surveillance system to decrease the separation between aircraft and ultimately maximize the use of the United States airspace.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115335736","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}
David Kreyenhagen, Timur I. Aleshin, Joseph E. Bouchard, Adam M. I. Wise, Rachel K. Zalegowski
{"title":"Using supervised learning to classify clothing brand styles","authors":"David Kreyenhagen, Timur I. Aleshin, Joseph E. Bouchard, Adam M. I. Wise, Rachel K. Zalegowski","doi":"10.1109/SIEDS.2014.6829909","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829909","url":null,"abstract":"Machine learning techniques have the potential to alter the highly competitive online fashion retail industry by improving customer service through personalized recommendations. A fashion style classification system can improve the customer search functionality and provide a more personalized experience for the user. Supervised learning techniques with fashion based applications face the problem of developing quantitative measures for describing fashion products which are subjective in nature. To address this issue the authors asked fashion experts to assist in the assembly of a training set of brand-style associations. Quantitative measures were attributed to each brand in the training set by applying natural language processing, text mining, and eBay query results. This data set was used to train a support vector machine which classified the approximately 8000 remaining brands into style categories. The prospective classifier model was assessed based on its positive predictive values which yielded a 56.25% success rate. Given that there are eight different styles to choose from, a baseline for the percentage is only 12.5%. The SVM thus adds significant value to the classification of fashion brands. The final style categorization was integrated as a new filter feature that allows the user to narrow down their searches and access relevant results.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121129239","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}
Niklas Philipsen, William L. Carruthers, Grace W. Chi, David Ensey, Alexander Shmorhun, R. Valdez
{"title":"A mixed-methods assessment of time spent documenting by nurses using an electronic medical records system","authors":"Niklas Philipsen, William L. Carruthers, Grace W. Chi, David Ensey, Alexander Shmorhun, R. Valdez","doi":"10.1109/SIEDS.2014.6829925","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829925","url":null,"abstract":"The focus of this quality improvement project was to identify possible improvements to the nursing documentation process at a large academic medical center by developing an understanding of the root causes of electronic medical records documentation inefficiencies, as decreasing the amount of time spent on documentation would allow for increased nurse interaction time with patients. The root cause analysis conducted in this study was grounded in a mixed methods approach, incorporating ethnographic observations, focus groups, and surveys with follow-up interviews. Additionally, phone-based work sampling was conducted to establish a baseline measure of documentation time efficiency. Data were collected from 121 nurses over six months, in four acute care units and one emergency department at the University of Virginia Medical Center. Focus group feedback, observations, and survey data were aggregated and used to identify five categories of possible improvements to the efficiency of documentation: user interface, equipment, process, communication, and extent of documentation. Survey data suggest that a significant proportion of nurses had never used several time-saving tools. When triangulated with the qualitative results, these findings suggest that nurses who understand and use built-in documentation tools spend less time on documentation overall. Work sampling results showed that 45.8% of time was spent on patient care, 16.5% on indirect care, 25.6% on documentation and 12.0% on miscellaneous tasks. While in line with findings from the literature, these task time distributions suggest the potential for further reduction to nursing time spent documenting through efforts to improve training consistency, remove unnecessary or repetitive documentation, and encourage use of time-saving tools.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126033957","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":"Design of an underwater mine detection system","authors":"S. Khaledi, H. Mann, James Perkovich, S. Zayed","doi":"10.1109/SIEDS.2014.6829901","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829901","url":null,"abstract":"Underwater mines are an effective method of blocking shipping lanes and restricting naval operations resulting in significant negative economic and environmental impacts. Current mine clearance processes used by the United States Navy can take up to 200 times the cost and time required to place the minefield. This asymmetry highlights a weakness in the Navy's ability to effectively deal with the threat of underwater mines. To create a scenario that satisfies stakeholders' interests, the Navy needs to improve the effectiveness of its mine clearance systems with reduced process time, increased probability of detection, and removal of the risk of injury or loss of life to the system operators. The authors analyze the benefits of the use of autonomous, unmanned vehicles to tow the sonar through the water compared with current manned systems. Autonomous vehicles can be less expensive to operate while providing the same or better performance and reduce the risk of operator fatalities. Two existing sonar alternatives and five different towing vehicles are considered. A computer model of the vehicle dynamics and fuel burn is used to simulate each design alternative as it goes through the process of detecting underwater mines in a prospective minefield (e.g. mouth of the Chesapeake Bay). The model includes several assumptions regarding the type of mines to be detected, total area being covered, and the type of mine clearing operation. Results indicate that underwater vehicle alternative uses the least amount of energy. Additionally, the Raytheon sonar requires more energy to be towed through the water than the Klein sonar for all vehicle alternatives. The total utility of each alternative is determined based on its performance with regard to safety, speed, fuel economy, and probability of detection. A utility versus cost analysis indicates the best alternative.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127380576","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":"An integer program for Open Locating Dominating sets and its results on the hexagon-triangle infinite grid and other graphs","authors":"D. B. Sweigart, J. Presnell, R. Kincaid","doi":"10.1109/SIEDS.2014.6829887","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829887","url":null,"abstract":"This paper presents an integer linear program (ILP) for the identification of Open Locating Dominating Sets (OLD) of minimum cardinality and presents several results of the ILP on various graphs. The OLD is similar to an identifying code, but for an open neighborhood instead of closed. The OLD was introduced by Peter Slater and Suk J. Seo in 2010 as a method by which one could identify the location of an event at a node where a node in the set can detect events at adjacent nodes, but cannot detect an event at itself. This is perhaps more clear as a series of factories such that those with intrusion detection devices form an identifying code, but an intruder will disable the system at the factory into which she breaks, if so equipped. There are also applications in other areas such as router networks. This paper continues work by Alison Oldham at the College of William and Mary on the development and implementation of an ILP to identify such OLDs on finite graphs. We demonstrate and compare the results on 100 node randomly generated graphs of various constructions; Erdös-Renyi, Geometric and Scale-Free. We find that most graphs have a density near 1/3. We also explore the use of the ILP to generate OLDs for infinite grids, looking specifically at the hexagonal-triangular grid where we discover a new upper bound of 5/12 on the minimum density OLD for this grid. Finally, we extend this ILP to identify locating dominating sets that simultaneously satisfy open and closed neighborhood criteria, or Closed-Open Locating Dominating sets (COLD).","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126864140","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}
Thomas P. Dirienzo, Nathan A. Krishnan, Srija, Joost R. Santos
{"title":"Effects of smart appliances on residential consumption patterns","authors":"Thomas P. Dirienzo, Nathan A. Krishnan, Srija, Joost R. Santos","doi":"10.1109/SIEDS.2014.6829870","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829870","url":null,"abstract":"Despite the growing attention on environmental sustainability and technological advances to create new ways to reduce energy use, the U.S. remains the largest global energy consumer. Changing individuals' patterns of consumption is crucial to addressing the issue. While smart appliances are becoming prominent in the consumer market, only a few studies have been focused on their ability to influence individual decision-making. Smart appliance technologies have data storage capabilities that can be remotely accessed through modern user interfaces. This affords the ability for data-driven decision making through visual analytics. When given quantitative results, consumers tend to be more aware of their consumption behavior. Smart appliances can be utilized to reduce individual energy usage through incentivizing savings, while reducing greenhouse emissions. Through a systems-based scenario analysis, this paper analyzes the consumption of three residential user categories. The data is aggregated to depict the cost of annual energy usage, which is then optimized to show areas for cost savings. The benefits of these behavioral changes can be further expanded through interdisciplinary approaches. Future enhancements to smart appliance applications are also explored, particularly in areas of user interface, design, and “gamification” of savings. These improvements, coupled with government home energy incentive programs, make the benefits of smart appliances more plausible. Empowering consumers with this technology can encourage sustainable behaviors that lead to reductions of the national carbon footprint.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130570849","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}