S. Adhikari, J. Fang, G. Lindgren, S. Wadie, M. DeVore
{"title":"Simulation of a distributed target recognition system with variable operating conditions","authors":"S. Adhikari, J. Fang, G. Lindgren, S. Wadie, M. DeVore","doi":"10.1109/SIEDS.2004.239822","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239822","url":null,"abstract":"This paper details a simulation tool for assessing the effect of variable operating conditions on an automatic target recognition system. The simulation tool helped to assess the impact of variable operating conditions and hardware capability on the performance of distributed target recognition systems. Its user interface allowed for real-time monitoring of the best object classification, its associated likelihood value, and the time required to make the classification. Testing revealed that the available network bandwidth and the number of processing nodes used to compute most greatly influenced system performance, followed closely by the level of resolution of the target model images","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128858991","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}
G. Roberts, K. Grundmann, C. Devlin, M. Fulgenzi, V. Sacro, S. Stapleton, S. Szurgyi
{"title":"Airport arrival and departure management under weather uncertainty","authors":"G. Roberts, K. Grundmann, C. Devlin, M. Fulgenzi, V. Sacro, S. Stapleton, S. Szurgyi","doi":"10.1109/SIEDS.2004.239849","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239849","url":null,"abstract":"A team of systems engineering students at George Mason University have developed an initial design for an integrated system, the Airport Departure Arrival Management System (ADAMS), which provides information and decision support capabilities to air traffic managers, ground controllers, and National Central Flow Control. The objective of ADAMS is to decrease the net arrival-departure delay for a network of airports by leveraging high fidelity weather forecasts, capacity optimization algorithms, and ground sequencing guidance. This paper presents the results of the design efforts, with a brief look at functional architecture, and preliminary simulation results to evaluate the impact of ADAMS on net flight delay and network stability in a six-node network of airports","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134325287","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}
J. Chang, W. Gibson, E. Lander, K. O'Hargan, S. Donohue, S. Guerlain, B. Clark, B. Parker
{"title":"Assessing individual and team readiness","authors":"J. Chang, W. Gibson, E. Lander, K. O'Hargan, S. Donohue, S. Guerlain, B. Clark, B. Parker","doi":"10.1109/SIEDS.2004.239941","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239941","url":null,"abstract":"The purpose of this research is to determine if teams can successfully predict their readiness to perform a mission via noninvasive methods. We present a method for assessing individual and team readiness in the form of a questionnaire designed to allow team members to predict the readiness of their team to perform a particular mission. To test the questionnaire's utility, we conducted a field experiment using University of Virginia Army Reserve Officer Training Corps (ROTC) cadets as test subjects because of the fit between our research domain and their field training exercise needs. We use the questionnaire data and scores of actual performance to determine the accuracy of individual and team readiness predictions. The results of this experiment are inconclusive. We recommend further experimentation with experienced subjects to determine if this methodology can be developed into a reliable predictive tool","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116530400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A genetic algorithm for vehicle routing problems with stochastic demand and soft time windows","authors":"Matthew H. Jones, S. Patek, B. Tawney","doi":"10.1109/SIEDS.2004.239880","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239880","url":null,"abstract":"We study the stochastic vehicle routing problem with soft time windows (SVRPSTW). Vehicles with limited capacity are routed from the central depot to a set of geographically dispersed customers with unknown demands, predefined presence probability and time windows. The late arrival at the customer is allowed by adding a penalty to the objective value. A mathematical model is developed to describe the behavior of this kind of delivery system. A novel age based genetic scheduling algorithm is proposed as an optimization tool to solve this intractable vehicle routing problem in order to minimize the total cost. The effectiveness of the proposed scheduling algorithm is illustrated by using a set of randomly generated numerical examples. The results indicate that the proposed genetic approach is a simple but effective means for solving these problems","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130364529","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}
J. Ballard, J. Choi, T. Oakes, M. Pizzuto, J. Ramírez, D.E. Brown, J. Dalton
{"title":"Visual decision-support tools for first responders","authors":"J. Ballard, J. Choi, T. Oakes, M. Pizzuto, J. Ramírez, D.E. Brown, J. Dalton","doi":"10.1109/SIEDS.2004.239943","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239943","url":null,"abstract":"In an age of heightened awareness due to terrorist threats, there is a great need for decision-support tools for first responder teams, such as FBI bomb squads, HAZMAT teams, etc. These teams suffer from the following deficiencies: \"lack of information regarding hazards and equipment, and inadequate management and communication of information\" (Jackson et al. 2002, 37). Decision-support tools strengthen the communication and management of disaster situations, and subsequently protect the safety and security of first responders and citizens. This project was the design and implementation of visual tools that improve CoBRAreg (chemical biological response aide), a portable decision- support system that facilitates first responders in hazardous material accidents and attacks (DGI, \"CoBRAreg,\" 2003). Testing of these tools clearly demonstrates the improvements that result from their integration: the automated briefing tool reduces data transfer time by 33%, while it increases reliability of information and the speed of communication within first responder teams. The ATP 45 interface decreases the time required for graphing of isolation and downwind protection zones by 80%. The sketchpad tool reduces the time required for mapping by 83.3%; finally, the GPS tool decreases the time required to understand global positional awareness by 95%. In every case, these tools strengthen the quality and accuracy of information available to first responders; thus, they meet the needs of these teams in handling disaster situations","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128458133","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}
R. Tiffany, E.L. Issadore, R. Smith, P. Sarda, J. Lambert, C.H. Rasnick, M. Fiol, W. Ferguson
{"title":"Process development and integration for the six-year program and the statewide transportation improvement program","authors":"R. Tiffany, E.L. Issadore, R. Smith, P. Sarda, J. Lambert, C.H. Rasnick, M. Fiol, W. Ferguson","doi":"10.1109/SIEDS.2004.239911","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239911","url":null,"abstract":"The statewide transportation improvement program (STIP), a three-year programming document required by federal regulations, has been prepared by the Virginia highway agency as an abridgement of its six-year program (SYTP),which is required by state regulations. Generation of the STIP from the SYTP has been determined to not meet federal requirements. The innovation of this effort is the application of business process modeling to improve hierarchical integration of federal and state transportation programming using the IDEF format. Describing the statewide and federal program processes using the IDEF standards has several benefits. The high-level outputs of software models are charts with underlying characteristics of activities (inputs, controls, mechanisms, and outputs). IDEF models support the business analyst to describe the statewide and federal programs and other processes consistently. Use of the IDEF standards for process improvement may evolve to be a common practice across the agency","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116986777","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}
K. Chung, C. Davis, C. Fee, R. Grammer, D. Brown, J. Dalton, R. Wilson
{"title":"Facilitating public safety analysis through enhanced information sharing: improving the geospatial repository for analysis and safety planning","authors":"K. Chung, C. Davis, C. Fee, R. Grammer, D. Brown, J. Dalton, R. Wilson","doi":"10.1109/SIEDS.2004.239820","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239820","url":null,"abstract":"The University of Virginia Systems and Information Engineering Department is part of a six-year project commissioned by the National Institute of Justice to develop the geospatial repository for analysis and safety planning, GRASP. GRASP is a Web application that allows for the viewing and sharing of spatial data over the Internet. GRASP is a system that allows verified users to upload spatial data, and in turn are rewarded with full access to all public data stored in the database. For the past three years, student teams have progressively added to the design and development of GRASP. During the summer of 2003, GRASP shifted to an implementation phase that focuses on the active recruitment of new data contributors across the United States. To enable this shift in focus, the GRASP Website's usability and functionality have been improved by implementing new software, upgrading old hardware, and conducting usability tests. These improvements have reduced the time required by the system's administrators. The changes have also enabled an 86% decrease in the time required for data sharing between users of different jurisdictions","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121191178","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":"Risk-based model for tracking complexity in system vulnerability analysis","authors":"P. Sarda, J. Lambert","doi":"10.1109/SIEDS.2004.239817","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239817","url":null,"abstract":"We describe a method for tracking model complexity in system vulnerability analysis. The method builds on the collection of risk scenarios describing known vulnerabilities of systems and system components. We introduce the concept of an interaction as a mapping between a risk scenario and one or more system components. An interaction is direct when the mapping is obvious. An interaction is indirect when the mapping can make use of nonobvious relationships among system components. Indirect interactions characterize the rippling effects of a risk scenario and are used to identify the nonobvious interdependencies. With the above foundation, the method extends traditional process control charts to track evolving knowledge of scenarios and systems. The charts signal the emergence of anomalous variation in emerging knowledge of system vulnerability. The method is applied iteratively to avoid situations of surprise in an emerging model (scenarios and systems) of system vulnerability. An application of the method is discussed","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989533","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}
R. Ayala, C. Budram, T. Koussis, J. Muhammad, R. Rashid
{"title":"Continuous airport vehicle asset tracking system (CAVATS)","authors":"R. Ayala, C. Budram, T. Koussis, J. Muhammad, R. Rashid","doi":"10.1109/SIEDS.2004.239909","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239909","url":null,"abstract":"Airline passenger travel in the U.S. is forecast to increase an average annual rate of 5.1% between 2003 and 2015, as stated by the official Federal Aviation Administration forecast and acknowledged by industry experts. Economic uncertainties and National security concerns have delayed airport expansions requiring alternatives towards creating additional airport gate capacity. The Sensis Corporation is sponsoring the continuous airport vehicle asset tracking system (CAVATS) team to design an asset tracking system that may improve an airline's method of ground vehicle command, communication and control (C3) of an airport hub. (CAVATS) is a surveillance, information and communication system. We present the results of the design and parametric evaluation of a conceptual CAVATS system. Results of a stochastic simulation, using real data collected, is used in conjunction with preliminary system cost estimates to perform a business case evaluation","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117021770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A regression-based predictive model of student attendance at UVA men's basketball games","authors":"T. Walls, E. Bass","doi":"10.1109/SIEDS.2004.239907","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239907","url":null,"abstract":"A regression-based predictive model was developed to allow better prediction of attendance for the student general admission seats at University of Virginia men's home basketball games. The goal was to improve upon the existing prediction method that yielded prediction errors sometimes exceeding one thousand students. Based on the existing attendance prediction method and a literature review, twenty candidate factors were identified for potential use in an improved prediction model. Using a best subsets methodology and data from the previous four basketball seasons, a six predictor model was developed with an adjusted R2 value of 0.816. The predictors were based on whether UVA and/or the opponent were ranked, opponent popularity, and whether classes were in session. The resulting model was validated with data from home games from the 2002-2003 season. Its average prediction error of 263 students (standard deviation of 269 students) was a significant improvement over the existing prediction method","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117175699","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}