{"title":"Modeling the impact of infrastructure interdependencies on Virginia's highway transportation system","authors":"L. Dryden, M. Haggerty, L. Lane, C.S. Lee","doi":"10.1109/SIEDS.2004.239944","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239944","url":null,"abstract":"This project seeks to address the Virginia Department of Transportation's (VDOT) need to identify and manage the increasing number of interdependencies within its highway system. This study incorporates risk assessment and risk management methodologies in the analysis of four separate case studies involving VDOT assets. The results of this study provide insight not only as to how to manage the cascading effects of interdependent infrastructures within the individual case studies, but are applicable to the state of Virginia, as a whole. Management policies are recommended to unlock the interdependencies within the transportation system and thereby reduce the impact to the interdependencies following a transportation disruption","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"14 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":"127874761","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}
I. Ayers, A. Breton, M. Farrington, J. Landrum, R. Lee
{"title":"Optimizing communications satellite deployment: development of a decision aid","authors":"I. Ayers, A. Breton, M. Farrington, J. Landrum, R. Lee","doi":"10.1109/SIEDS.2004.239878","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239878","url":null,"abstract":"We discuss the problem of optimizing the utilization of communication satellite capacity. The modern fixed satellite service provider seeks improved methods to optimize the amount of service demand that is accommodated by capacity available on its satellite network. A mixed-integer programming (MIP) model is proposed for the solution of the problem, as part of a decision support tool. Such a tool integrates three system components, which are: a mathematical optimization model, an optimization algorithm, and a graphical user interface. We discuss the design process associated with each component of the system and conclude with preliminary results obtained from sample optimization runs","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"23 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":"131501178","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":"Heuristic approaches to solve the U-shaped line balancing problem augmented by genetic algorithms","authors":"Matthew H Jones, Stephen D Patek, B. Tawney, Eds","doi":"10.1109/SIEDS.2004.239976","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239976","url":null,"abstract":"U-shaped production line can be described as a special type of cellular manufacturing used in just-in-time (JIT) and lean manufacturing. The U-line arranges machines around a U-shaped line in the order in which production operations are performed. Operators work inside the U-line. We address the Type 1 U-LBP using heuristic rules adapted from the simple LBP. Then these heuristic approaches are compared with the optimal solutions obtained from the previous published research work. Finally the heuristic rules are used as genes to find optimal or near optimal solutions using a genetic algorithm adapted from the simple LBP genetic algorithm proposed by Ponnam-balam, Aravindan, and Mogilesswar (2000). The results showed that some very simple heuristic rules produced optimal or near optimal solutions. Then with the simple implementation of a genetic algorithm it is possible to some times obtain optimal solutions in the first iteration","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"6 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":"130930549","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":"Mining frequent rooted subtrees in XML data with Me-Tree","authors":"Wan-Song Zhang, Daxin Liu, Jianpei Zhang","doi":"10.1109/SIEDS.2004.239908","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239908","url":null,"abstract":"Due to the rapid progress of network and storage technologies, a huge amount of electronic data such as Web pages and XML data has been available on Internet. These weekly-structured documents have no rigid structures, and often called semistructured data. Hence, there have been increasing demands for efficient methods for discovering patterns in large collection of semistructured data. We study a data mining problem of discovering frequent subtrees in a large collection of XML data, where both of the patterns and the data are modeled by labeled ordered trees. We present an efficient algorithm RSTMiner that computes all rooted subtrees appearing in a collection of XML trees with frequent above a user-specified threshold using a special structure Me-tree. In this algorithm, Me-tree is used as a merging tree to supply scheme information for efficient pruning and mining frequent subtrees. The keys of the algorithm are efficient pruning candidates with Me-Tree structure and incrementally enumerating all rooted subtrees in canonical form based on a extended right most expansion technique","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"64 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":"130807085","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":"Preliminary study of information sharing technology adoption by crime analysts","authors":"K. Buenafe, D. Brown, E. Bass","doi":"10.1109/SIEDS.2004.239912","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239912","url":null,"abstract":"Recalcitrant groups (RGs) are those who reject new technology, in spite of having recognized a need for the technology and awareness of its potential benefits. This study proposes a survey method that combines logistic regression and usage statistics to examine technology adoption. This method was used to evaluate the effect of preference and usability factors on crime analysts' adoption of a Web portal for information sharing. The initial decision to adopt was assessed by survey results, usage statistics and user feedback. The portal did not succeed because of the following reasons: lack of time to use it; having only recently gained access to it; low Internet usage; and poor usability. As a result of this case study, preliminary design guidelines for RGs were developed","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"2 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":"121633575","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":"Measuring the effectiveness of a \"decision matrix\" for missile retargeting decisions","authors":"Matthew H. Jones, S. Patek, B. Tawney","doi":"10.1109/SIEDS.2004.239942","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239942","url":null,"abstract":"The U.S. Navy recently developed a version of the Tomahawk Missile that can be retargeted while in flight. This new version, called the Tactical Tomahawk Missile, requires en route monitoring, control, and oversight by human operators. Previous research led to the design, implementation, and testing of a graphical multiuser interface system for human supervisory control of a missile \"strike\" (multiple missile fired together to various targets). The purpose of this study was to test the merits of a decision matrix as a high-level decision making aid, to validate previous findings about how missile load affects performance. Forty-two University of Virginia students participated as subjects. Missile level varied between 8, 12, and 16 missile, and interface type varied between having the decision matrix or not. The results confirmed that the decision matrix is a useful tool, but they failed to verify previous missile loading estimates","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"56 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":"117160595","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":"Learning from student data","authors":"K. Barker, T. Trafalis, Teri Reed Rhoads","doi":"10.1109/SIEDS.2004.239819","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239819","url":null,"abstract":"An abundance of information is contained on every college campus. Many academic, demographic, and attitudinal variables are gathered for every student who steps on campus. Despite all this information, colleges still struggle with graduation rates. This is an apt example of an overload of information but a starvation of knowledge. This paper introduces the use of neural networks and support vector machines, both nonlinear discriminant methods, for classifying student graduation behavior from several academic, demographic, and attitudinal variables maintained about students at the University of Oklahoma","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"119 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":"121896401","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. King, J. Lackey, D. Stevens, B. Kleiner, Subhash Sarin, L. Harris, J. Thomson
{"title":"Strategic Space Plan Initiative (SSPI)","authors":"K. King, J. Lackey, D. Stevens, B. Kleiner, Subhash Sarin, L. Harris, J. Thomson","doi":"10.1109/SIEDS.2004.239945","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239945","url":null,"abstract":"Philip Morris USA is constructing an automated storage and retrieval system adjacent to its Manufacturing Center located in Richmond, Virginia. This initiative will clear approximately 500,000 square feet on the Manufacturing Center campus that was previously allocated for direct materials storage. The focus of this project is to determine the most efficient and effective way to allocate the newly available space. Two strategies were developed to determine the optimal layout for the Manufacturing Center. First, a manual heuristic, strategic layout planning, uses department adjacency requirements to determine the order to place departments into the layout, creating multiple layouts. Second, a mathematical optimization program using CPLEX and AMPL determines the optimal layouts that minimize material flow costs and maximize department adjacencies. Each developed layout is evaluated on both meeting desired department adjacencies and minimizing the material flow cost per week. From this data, two recommended layouts were developed","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"1 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":"128801173","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. Copperman, M.P. Devlin, R.M. Ewalt, T. Lockhart, K. D. Peterson, J. Lambert, M. Tischer, K.P. Spence, K.A. Graham, W. Ferguson
{"title":"Coordinating and prioritizing multimodal transportation projects","authors":"R. Copperman, M.P. Devlin, R.M. Ewalt, T. Lockhart, K. D. Peterson, J. Lambert, M. Tischer, K.P. Spence, K.A. Graham, W. Ferguson","doi":"10.1109/SIEDS.2004.239847","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239847","url":null,"abstract":"The goal of this effort is to aid the VTrans2025 Technical Committee in coordinating and prioritizing multimodal transportation projects. This project delineated the process through which a multimodal transportation project is developed and implemented for the Commonwealth of Virginia. Specifically, the project also developed and tested the application process for multimodal transportation projects. That application process includes developing various forms of reports, scoring the project based on criteria developed from the goals of VTrans2025, ranking multiple projects based on various sets of weights given to the criteria, and finally prioritizing the implementation and funding of those projects. Finally, a Web-based interface is developed to help manage the entire multimodal project development and prioritization process. State officials working with VTrans2025 use these prototypes, in finalized forms, to aid them in the development and prioritization of multimodal transportation projects in the future","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":"116001449","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. Maliszewski, J. Range, T.L. Vaughn, D. Millien, B.T. Kwinn
{"title":"Redesign of the West Point logistics warehouse support system","authors":"J. Maliszewski, J. Range, T.L. Vaughn, D. Millien, B.T. Kwinn","doi":"10.1109/SIEDS.2004.239879","DOIUrl":"https://doi.org/10.1109/SIEDS.2004.239879","url":null,"abstract":"The result of the Most Efficient Organization (MEO) contract awarded in September 2002 was a reduction in personnel strength and the consolidation of operating functions for the Directorate of Logistics (DOL) at the United States Military Academy (USMA). The purpose of our research is to analyze the USMA warehouse operations that support West Point and other local military installations and units. Our research includes an analysis of the current warehouse system, demand for services, and resource allocation. We developed a value model, evaluation measures and a discrete event model to analyze several alternatives. Our results will be used by the client to improve the efficiency and productivity of the downsized organization","PeriodicalId":287496,"journal":{"name":"Proceedings of the 2004 IEEE Systems and Information Engineering Design Symposium, 2004.","volume":"3 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":"121145945","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}