Data Quality Challenges in Distributed Live-Virtual-Constructive Test Environments

Millar, Jeremy R.; Hodson, Douglas D.; Peterson, Gilbert L.; Ahner, Darryl K.

doi:10.1145/2850420

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…29,30 Most previous research on LVC systems has relied on qualitative analyses, such as listing the pros and cons and identifying required technology, applicable training types, and training schemes. [31][32][33] Although previous research has consistently demon-…”

Section: The Framework Development Process and Analysis Results Frommentioning

confidence: 99%

“…Most previous research on LVC systems has relied on qualitative analyses, such as listing the pros and cons and identifying required technology, applicable training types, and training schemes 31–33 . Although previous research has consistently demonstrated the promise of LVC training systems in modern military training, it has not provided clear answers about the balance of the systems’ effectiveness and the substantial investment compared to that of existing training systems.…”

Section: Application Of the Framework Development: Military Training ...mentioning

confidence: 99%

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Enhancing decision knowledge by developing a quantitative framework for holistic exploratory acquisition policy analysis

Kwon

Kim

Min

et al. 2022

Systems Engineering

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An acquisition policy's diverse stakeholders may have heterogeneous needs. Furthermore, stakeholders may be unsure of their preferences due to a highly qualitative analysis of alternatives in the early stages of the acquisition policy development process. Lacking system knowledge and evidence, stakeholders may push back policy priorities or delay decisions. In such cases, it is necessary to increase stakeholders’ knowledge about the acquisition policy options’ impacts. This study proposes a systematic and quantitative framework development process and outlines a holistic exploratory policy analysis. Stakeholders’ needs are systematically identified and measurement areas and elements are derived from those needs. Evaluation methods are then created through a sensible quantification process to measure the impact of introducing each alternative. The framework provides information on the effects of various policy options, an analysis of each alternative's most crucial policy option, and other valuable analysis results. Finally, we present a case study to illustrate the development process and application of the framework when introducing a new military training system such as Live, Virtual, and Constructive synthetic training systems.

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Section: The Framework Development Process and Analysis Results Frommentioning

confidence: 99%

Section: Application Of the Framework Development: Military Training ...mentioning

confidence: 99%

Enhancing decision knowledge by developing a quantitative framework for holistic exploratory acquisition policy analysis

Kwon

Kim

Min

et al. 2022

Systems Engineering

View full text Add to dashboard Cite

show abstract

“…The typical application of LVC technology in air combat training and test are listed, similarly knowledge on LVC training can be found in [30][31][32][33][34]. Literatures of LVC methods on scholarly research can be reached at [35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50].…”

Section: Applicationsmentioning

confidence: 99%

Review of Live-Virtual-Constructive Simulation Technology

Liang

Wang

Tong

et al. 2023

J. Phys.: Conf. Ser.

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With the improvement of network communication technology, creative computer simulation architectures and today’s cutting-edge hardware, the live-virtual-constructive (LVC) simulation technology gradually matures adequately to synthesize joint heterogeneous systems. Firstly, the development of typical LVC architectures and their key technologies are analysed, such as Advanced Distributed Simulation (ADS), High-Level Architecture (HLA), Test and Train Enabling Architecture (TENA), Joint Simulation Supporting Platform (JoSim) and so force. Then, applications in the field of US and Chinese military are reviewed, as well as cases in air combat training and other scholarly research concept. Finally, a summary of LVC technology is given, and the development trend of military LVC simulation technology is predicted to explore the specific content that needs to be studied.

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“…Finally, we have conducted subsequent experiments assessing the likelihood of meeting plausibility limits using motion models derived from World of Warcraft trace data 36 . These experiments indicate that the probability of exceeding a “loose” plausibility limit ( L ≥1.0) is quite low for real‐world motion models.…”

Section: Optimizing Plausibilitymentioning

confidence: 99%

Optimizing update scheduling parameters for distributed virtual environments supporting operational test

Millar

Hodson

Peterson

et al. 2017

Concurrency and Computation

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Distributed virtual environments provide a shared sense of time and space to geographically distributed users. They depend on a limited ability to ensure system nodes at different locations maintain consistent state data. This paper presents system models and algorithms designed to find optimal update scheduling parameters that minimize the effects of inconsistent simulation state data. The first model is concerned with ensuring distributed virtual environments that present a fair experience to all users while simultaneously providing adequate levels of system performance. In the second model, we introduce the concept of plausibility limits and address their use in ensuring all participants in an interaction to see the same result.

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Data Quality Challenges in Distributed Live-Virtual-Constructive Test Environments

Cited by 8 publications

References 12 publications

Enhancing decision knowledge by developing a quantitative framework for holistic exploratory acquisition policy analysis

Enhancing decision knowledge by developing a quantitative framework for holistic exploratory acquisition policy analysis

Review of Live-Virtual-Constructive Simulation Technology

Optimizing update scheduling parameters for distributed virtual environments supporting operational test

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