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Applying automated model extraction for simulation and verification of real-life SDL specification with spin
Boštjan Vlaovič, Aleksander Vreže, Zmago Brezočnik, 2017, original scientific article

Abstract: Formally defined Specification and Description Language (SDL) is used for the design and specification of complex safety-critical systems. Each change in the specification of the product should be immediately checked formally against the requirements’ specification. This paper presents semi-automated system abstraction, automated model extraction, simulation, and formal verification of real-life complex SDL specification. Sound algorithms implemented in our sdl2pml automated model extraction tool preserve all properties of the SDL system. Sdl2pml includes our model of discrete time, abstraction, and support for all relevant SDL functionality and constructs such as dynamic process creation, rational data types, and communication with more than one process instance. To the best of our knowledge, most of them are not supported by any other known approach. We use our SpinRCP tool for simulation and formal verification of the extracted model with the Spin model checker. We demonstrate the applicability of our approach on ISDN User adaptation protocol from SI3000 Softswitch. The extracted Promela model is the largest one ever processed by Spin. We have shown that Spin simulation and model checking can be applied successfully to such huge models.
Keywords: formal specifications, automated extraction, formal languages, simulation, formal verification, model cheking, SDL, Promela, SpinRCP, Sdl2pml
Published: 03.08.2017; Views: 755; Downloads: 328
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A wearable device and system for movement and biometric data acquisition for sports applications
Marko Kos, Iztok Kramberger, 2017, original scientific article

Abstract: This paper presents a miniature wearable device and a system for detecting and recording the movement and biometric information of a user during sport activities. The wearable device is designed to be worn on a wrist and can monitor skin temperature and pulse rate. Furthermore, it can monitor arm movement and detect gestures using inertial measurement unit. The device can be used for various professional and amateur sport applications and for health monitoring. Because of its small size and minimum weight, it is especially appropriate for swing-based sports like tennis or golf, where any additional weight on the arms would most likely disturb the player and have some influence on the player’s performance. Basic signal processing is performed directly on the wearable device but for more complex signal analysis, the data can be uploaded via the Internet to a cloud service, where it can be processed by a dedicated application. The device is powered by a lightweight miniature LiPo battery and has about 6 h of autonomy at maximum performance.
Keywords: biometric data acquisition, inertial sensing, movement detection, pulse rate, sensor fusion, wearable
Published: 03.08.2017; Views: 670; Downloads: 320
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