What is System Wide Information Management (SWIM)?

Meserole, J. S.; Moore, John W.

doi:10.1109/maes.2007.365329

Cited by 29 publications

(8 citation statements)

References 3 publications

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“…Due to the complexity involved in the traffic datasets, the chances of cognitive overload caused by stress factors on a human operator are significantly high, thereby adversely affecting the performance of the air traffic management system. To ease the stress on the human operator, the traditional air traffic control management is replaced by a system-wide information management (SWIM) [38]. SWIM facilitates comfort in human-in-loop simulation by increasing the level of autonomy in air traffic control and introducing immersive techniques.…”

Section: Modular Open Robots Simulation Engine (Morse): This Methods Is An Open-source Roboticmentioning

confidence: 99%

Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT)

Damacharla¹,

Dhakal

Bandreddi

et al. 2020

Applied Sciences

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This work presents a multi-year study conducted at the University of Toledo, aimed at improving human–machine teaming (HMT) methods and technologies. With the advent of artificial intelligence (AI) in 21st-century machines, collaboration between humans and machines has become highly complicated for real-time applications. The penetration of intelligent and synthetic assistants (IA/SA) in virtually every field has opened up a path to the area of HMT. When it comes to crucial tasks such as patient treatment/care, industrial production, and defense, the use of non-standardized HMT technologies may pose a risk to human lives and cost billions of taxpayer dollars. A thorough literature survey revealed that there are not many established standards or benchmarks for HMT. In this paper, we propose a method to design an HMT based on a generalized architecture. This design includes the development of an intelligent collaborative system and the human team. Followed by the identification of processes and metrics to test and validate the proposed model, we present a novel human-in-the-loop (HIL) simulation method. The effectiveness of this method is demonstrated using two controlled HMT scenarios: Emergency care provider (ECP) training and patient treatment by an experienced medic. Both scenarios include humans processing visual data and performing actions that represent real-world applications while responding to a Voice-Based Synthetic Assistant (VBSA) as a collaborator that keeps track of actions. The impact of various machines, humans, and HMT parameters is presented from the perspective of performance, rules, roles, and operational limitations. The proposed HIL method was found to assist in standardization studies in the pursuit of HMT benchmarking for critical applications. Finally, we present guidelines for designing and benchmarking HMTs based on the case studies’ results analysis.

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Section: Modular Open Robots Simulation Engine (Morse): This Methods Is An Open-source Roboticmentioning

confidence: 99%

Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT)

Damacharla¹,

Dhakal

Bandreddi

et al. 2020

Applied Sciences

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“…This is in contrast to complexity that also arises from heterogeneity and dynamicism in information content, processing/communication demands, and resource availability. To compare and contrast in aerospace contexts, consider multidisciplinary design optimization (MDO) for aircraft versus systemwide information management (SWIM) [28] for the next-generation air traffic management system. MDO is at the core of computational science.…”

Section: B Computer Science Does Not Equal Computational Sciencementioning

confidence: 99%

“…For example, structures experts consider computer-aided design, finite element modeling, and computer-aided manufacturing software packages to be critical exposures for undergraduate students. Although these packages provide significant insight into the design and manufacturing of aerospace structures, they do not promote the kind of fundamental understanding of computational thinking [28] essential to prepare students for further study of CPS.…”

Section: Feedback From the Aerospace Industrymentioning

confidence: 99%

Education in the Crosscutting Sciences of Aerospace and Computing

Atkins

2014

Journal of Aerospace Information Systems

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The aerospace engineering pillars of structures, gas dynamics, and dynamics and control have rested long term on a firm foundation of calculus-based physics. Today's aerospace engineer relies more on the computational device than the pencil and paper to innovate in theory and in practice. Educators and practitioners struggle with questions in how to improve computing knowledge and skills in the aerospace curriculum. Whereas most agree it would be unwise to compromise most content currently in place, opinions differ on which computing concepts students need to know. The aim of this paper is to highlight the importance of computing for aerospace and encourage critical thought about options for its inclusion into the required undergraduate curriculum. To do this, computer science is defined and common misconceptions are discussed. A review of computing content in aerospace curricula is presented. A pedagogical strategy that capitalizs on analogs between discrete and continuous-valued physical processes is proposed, including examples of how computational thinking can be meaningfully infused without loss of content in traditional aerospace courses. The paper concludes with related efforts to introduce computational thinking in kindergarten through 12th grades and higher education along with a discussion of insights computer science offers aerospace by revisiting questions from the introduction.

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“…Therefore, because of these problems, it is necessary to design an applicable naming method for the business system and data of SWIM to solve its data transmission, sending and receiving, and interaction problems. Data-oriented naming schemes are roughly divided into two categories: mainly flat naming [3] and hierarchical naming [4]. However, both methods have some problems.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid SWIM Data Naming Scheme Based on TLC Structure

Cui

2020

Future Internet

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Aiming at the problem of low interconnection efficiency caused by the wide variety of data in SWIM (System-Wide Information Management) and the inconsistent data naming methods, this paper proposes a new TLC (Type-Length-Content) structure hybrid data naming scheme combined with Bloom filters. This solution can meet the uniqueness and durability requirements of SWIM data names, solve the “suffix loopholes” encountered in prefix-based route aggregation in hierarchical naming, and realize scalable and effective route state aggregation. Simulation verification results show that the hybrid naming scheme is better than prefix-based aggregation in the probability of route identification errors. In terms of search time, this scheme has increased by 17.8% and 18.2%, respectively, compared with the commonly used hierarchical and flat naming methods. Compared with the other two naming methods, scalability has increased by 19.1% and 18.4%, respectively.

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What is System Wide Information Management (SWIM)?

Cited by 29 publications

References 3 publications

Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT)

Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT)

Education in the Crosscutting Sciences of Aerospace and Computing

A Hybrid SWIM Data Naming Scheme Based on TLC Structure

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