2009 3rd Annual IEEE Systems Conference最新文献_第7页

Evaluating the effectiveness of systems and software engineering methods, processes and tools for use in defense programs 评估系统和软件工程方法、过程和工具的有效性，用于防御计划

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815819

M. Pennotti, R. Turner, F. Shull

引用次数: 7

Requirements engineering for systems of systems 系统的系统的需求工程

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815806

G. Lewis, E. Morris, P. Place, Soumya Simanta, Dennis B. Smith

引用次数: 47

Value mapping and modeling SoS assurance technologies and supply chain 价值映射和建模SoS保证技术和供应链

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815804

Jeannine M. Siviy, Christopher J. Alberts, A. Moore, Carol Woody, Julia H. Allen

{"title":"Value mapping and modeling SoS assurance technologies and supply chain","authors":"Jeannine M. Siviy, Christopher J. Alberts, A. Moore, Carol Woody, Julia H. Allen","doi":"10.1109/SYSTEMS.2009.4815804","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2009.4815804","url":null,"abstract":"A significant challenge for systems of systems assurance is that the return on investment from the adoption of assurance technologies and solutions — both technically and financially — is typically not realized by the organizations that directly make the investment. Consequently, decisions to adopt these technologies are difficult to justify, if not impossible. In turn, this devalues the return on investment of those who have funded the research and development of assurance-oriented technologies. In a recently launched project on software assurance, with specific focus on Systems of Systems (SoS) assurance, the SEI has begun characterizing and modeling interrelationships among organizations across the supply chain and the assurance technologies they fund, create and transition to multiple types of “consumers.” Taxonomies and an initial systems dynamics model describing organizations' roles in the “assurance supply chain” and technologies' assurance contribution have been developed. These can support investment and adoption decisions, even when the adopting organization and/or assurance technology is several degrees removed from the final system.","PeriodicalId":131616,"journal":{"name":"2009 3rd Annual IEEE Systems Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131205705","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}

引用次数: 3

Multiscaling algorithms for molecular dynamics simulations with GROMACS 基于GROMACS的分子动力学模拟多尺度算法

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815825

N. Goga, S. Marrink, S. Costache, F. Moldoveanu

引用次数: 2

Importance of systems engineering in early acquisition 系统工程在早期采购中的重要性

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815781

J. Dahmann, Aumber S. Bhatti, M. Kelley

引用次数: 4

Towards a modular, service-oriented mechatronic system 朝着模块化、服务型机电一体化的方向发展

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815763

Zhicheng Deng, H. Cao, Leon Xu, Jian Ma

引用次数: 1

Mechanisms for requirements driven component selection and design automation 需求驱动组件选择和设计自动化的机制

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815761

Mihai Fonoage, I. Cardei, R. Shankar

引用次数: 5

Air cargo demand prediction 航空货运需求预测

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815835

Raghavendra Totamane, A. Dasgupta, R. Mulukutla, Shrisha Rao

{"title":"Air cargo demand prediction","authors":"Raghavendra Totamane, A. Dasgupta, R. Mulukutla, Shrisha Rao","doi":"10.1109/SYSTEMS.2009.4815835","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2009.4815835","url":null,"abstract":"The air cargo transportation system is a large and complex service system, in which demand forecasting is a key element in the master planning process essential for analyzing existing cargo flight schedules and identifying future facility requirements of air cargo companies. We propose a multi producer/consumer solution for predicting cargo demand of a specific airline in a given route and cargo load factor for its flight schedule. This solution considers each airline as a producer and the users of air cargo services as consumers, with each producer having no explicit communication with other producers /airlines. The solution can assist airlines to maximize the usage of available cargo capacity. A major airline often has 100 million pounds of weekly cargo lift capacity. With this volume of cargo, even the slightest improvement in the forecasting technique and cargo load factor is liable to have a major impact in overall savings, performance, and efficiency. Our model uses the weighted majority learning algorithm [1] with various predictors for predicting the future demand. Based on the predicted demand, available cargo capacity, and by applying various strategies, new cargo capacity plan is suggested, thereby improving the cargo load factor as well as the financial bottom line.","PeriodicalId":131616,"journal":{"name":"2009 3rd Annual IEEE Systems Conference","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126395029","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}

引用次数: 7

Model-based estimation of flexibility and optionability in an integrated real options framework 综合实物期权框架下基于模型的灵活性和可选性估计

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815802

T. Mikaelian, Donna H. Rhodes, Deborah J. Nightingale, Daniel E. Hastings

{"title":"Model-based estimation of flexibility and optionability in an integrated real options framework","authors":"T. Mikaelian, Donna H. Rhodes, Deborah J. Nightingale, Daniel E. Hastings","doi":"10.1109/SYSTEMS.2009.4815802","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2009.4815802","url":null,"abstract":"Uncertainties can be managed through real options that provide a decision maker the right, but not the obligation, to exercise actions at a later time. In previous work [1] we introduced an integrated real options framework (IRF) that distinguishes among option mechanism and type. The mechanism is the enabler of the option, while the type refers to the flexibility provided by the option. The idea behind IRF is to use models of a system or enterprise as a coupled dependency structure matrix (C-DSM) in order to identify and value enablers and types of flexibility. In this paper, we first show how the distinction among mechanisms and types of options leads to the identification of some new “ilities”, such as optionability, that are relevant to the options identification problem. Second, we show that the semantics of a traditional dependency model does not allow for the representation and estimation of flexibility and optionability. Therefore, we extend the C-DSM model to a logical C-DSM that is capable of representing logical relations among dependencies. Finally, we present metrics for estimating flexibility and optionability from the logical C-DSM model. We discuss the results of applying these metrics to identify mechanisms and options in purchasing a swarm of uninhabited air vehicles.","PeriodicalId":131616,"journal":{"name":"2009 3rd Annual IEEE Systems Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123570876","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}

引用次数: 8

Quantitative analysis of group decision making for complex engineered systems 复杂工程系统群体决策的定量分析

2009 3rd Annual IEEE Systems Conference Pub Date : 2009-03-23 DOI: 10.1109/SYSTEMS.2009.4815795

David A. Broniatowski, J. Coughlin, C. Magee, Maria C. Yang

引用次数: 2