PVSio-web 2.0: Joining PVS to HCI

Masci, Paolo; Oladimeji, Patrick; Zhang, Yi; Jones, Paul; Curzon, Paul; Thimbleby, Harold

doi:10.1007/978-3-319-21690-4_30

Cited by 29 publications

(23 citation statements)

References 21 publications

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“…All sources were detected at at least 9 times the median background value. Errors were computed followingMasci (2009) and include prior (noise-model) and derived uncertainties.…”

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confidence: 99%

The coordinated radio and infrared survey for high-mass star formation

Kalcheva

Hoare

Urquhart

et al. 2018

A&A

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A catalogue of 239 ultra-compact H II regions (UCHIIs) found in the CORNISH survey at 5 GHz and 1.5 resolution in the region 10 • < l < 65 • , |b| < 1 • is presented. This is the largest complete and well-selected sample of UCHIIs to date and provides the opportunity to explore the global and individual properties of this key state in massive star formation at multiple wavelengths. The nature of the candidates was validated, based on observational properties and calculated spectral indices, and the analysis is presented in this work. The physical sizes, luminosities and other physical properties were computed by utilising literature distances or calculating the distances whenever a value was not available. The near-and mid-infrared extended source fluxes were measured and the extinctions towards the UCHIIs were computed. The new results were combined with available data at longer wavelengths and the spectral energy distributions (SEDs) were reconstructed for 177 UCHIIs. The bolometric luminosities obtained from SED fitting are presented. By comparing the radio flux densities to previous observational epochs, we find about 5% of the sources appear to be time variable. This first high-resolution area survey of the Galactic plane shows that the total number of UCHIIs in the Galaxy is ∼ 750 -a factor of 3-4 fewer than found in previous large area radio surveys. It will form the basis for future tests of models of massive star formation.

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“…All sources were detected at at least 9 times the median background value. Errors were computed followingMasci (2009) and include prior (noise-model) and derived uncertainties.…”

mentioning

confidence: 99%

The coordinated radio and infrared survey for high-mass star formation

Kalcheva

Hoare

Urquhart

et al. 2018

A&A

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“…The PVSio-web framework [56,49] has been originally designed to validate the user interface of medical devices by interactively animating a formal specification of the user interaction with the device. This specification can be written directly in the PVS language, or entered graphically as a state machine diagram that is automatically translated into the PVS language.…”

Section: The Pvsio-web Frameworkmentioning

confidence: 99%

A PVS-Simulink Integrated Environment for Model-Based Analysis of Cyber-Physical Systems

Bernardeschi

Domenici

Masci

2018

IIEEE Trans. Software Eng.

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This paper presents a methodology, with supporting tool, for formal modeling and analysis of software components in cyber-physical systems. Using our approach, developers can integrate a simulation of logic-based specifications of software components and Simulink models of continuous processes. The integrated simulation is useful to validate the characteristics of discrete system components early in the development process. The same logic-based specifications can also be formally verified using the Prototype Verification System (PVS), to gain additional confidence that the software design complies with specific safety requirements. Modeling patterns are defined for generating the logic-based specifications from the more familiar automata-based formalism. The ultimate aim of this work is to facilitate the introduction of formal verification technologies in the software development process of cyber-physical systems, which typically requires the integrated use of different formalisms and tools. A case study from the medical domain is used to illustrate the approach. A PVS model of a pacemaker is interfaced with a Simulink model of the human heart. The overall cyber-physical system is co-simulated to validate design requirements through exploration of relevant test scenarios. Formal verification with the PVS theorem prover is demonstrated for the pacemaker model for specific safety aspects of the pacemaker design

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“…At the PVSio prompt, the user types a ground PVS expression (which is equivalent to a function call of imperative languages) and PVSio returns the result of the evaluation. For example, if a PVS theory contains the following function definition compute_velocity ( v : real , a : real , t : real ) : real = v + a * t then its value for a particular triple of arguments can be computed with the following function application: compute velocity(3.5, 1.8, 3.0); PVSio-web [19] is an open source toolkit that extends PVSio with functions for creating and executing realistic user interface prototypes based on PVS models. Using PVSio-web, developers can define the visual appearance of the prototype, as well as capture user actions over input widgets, and render feedback on displays and other output widgets on the user interface.…”

Section: Pvsio and Pvsio-webmentioning

confidence: 99%

“…An example based on a semi-autonomous vehicle is used to demonstrate the utility and capabilities of the developed interface. A controller is modelled and verified in PVS; the PVSio-web [19] toolkit is then used to connect the verified PVS model with a realistic interactive dashboard prototype; a co-simulation is then carried out by using the developed FMI interface to integrate the PVS model and dashboard with the rest of the system components (vehicle's mechanics, sensors, and environment) simulated with other tools. Structure.…”

Section: Introductionmentioning

confidence: 99%

Co-simulation of Semi-autonomous Systems: The Line Follower Robot Case Study

Palmieri

Bernardeschi

Masci

2018

Software Engineering and Formal Methods

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Semi-autonomous systems are capable of sensing their environment and perform their tasks autonomously, but they may also be supervised by humans. The shared manual/automatic control makes the dynamics of such systems more complex, and undesirable and hardly predictable behaviours can arise from human-machine interaction. When these systems are used in critical applications, such as autonomous driving or robotic surgery, the identification of conditions that may lead the system to violate safety requirements is of main concern, since people actually entrust their life on them. In this paper, we extend an FMI-based co-simulation framework for cyber-physical systems with the possibility of modelling semi-autonomous robots. Co-simulation can be used to gain more insights on the system under analysis at early stages of system development, and to highlight the impact of human interaction on safety. This approach is applied to the Line Follower Robot case study, available in the INTO-CPS project.

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PVSio-web 2.0: Joining PVS to HCI

Cited by 29 publications

References 21 publications

The coordinated radio and infrared survey for high-mass star formation

The coordinated radio and infrared survey for high-mass star formation

A PVS-Simulink Integrated Environment for Model-Based Analysis of Cyber-Physical Systems

Co-simulation of Semi-autonomous Systems: The Line Follower Robot Case Study

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