SaViT: Technique for Visualization of Digital Home Safety

Kumar, Pushpa; Subramanian, Nary; Zhang, Kang

doi:10.1109/icis.2009.126

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Another tool example is by Yang et al [Yang et al (2012)], where they proposed a visualization system for supporting safety experts in identifying proper safe solutions for the system in visual form. In [Kumar et al (2009)], the authors proposed an interesting visualizationbased tool, called SViT, which aims at helping homeowners assess the current safety level of their homes and finds the causes for this level.…”

Section: Related Workmentioning

confidence: 99%

Improving the Failure Understanding in Embedded Systems through Interactive Visual Support: An Evaluation Study

AlTarawneh

Humayoun

Ebert

et al. 2016

Electronic Workshops in Computing

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Effectively analyzing failure mechanisms is critical for ensuring safety and reliability aspects in embedded systems. This requires close collaborations between the system engineers who design the system and the safety experts who analyze the failures. To support this process, we present an interactive visual environment, called ESSAVis++, that helps in extracting the required safety information about the failure mechanisms in the underlying embedded system. In this paper, we focus mainly on the conducted user evaluation study to compare between ESSAVis++ and ESSaRel (a tool used in industry) in terms of accuracy, efficiency, and user acceptance. The goal was to determine the suitability and effectiveness of a common interactive visual environment that would be used by the system engineers and safety experts during the safety analysis process in embedded systems. Results indicate an increase in participants' efficiency and accuracy levels using the ESSAVis++ platform, due to the visual support and provided interaction options. We also observed a high acceptance rate among the participants towards ESSAVis++, mainly due to its intuitive visualizations.

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Section: Related Workmentioning

confidence: 99%

Improving the Failure Understanding in Embedded Systems through Interactive Visual Support: An Evaluation Study

AlTarawneh

Humayoun

Ebert

et al. 2016

Electronic Workshops in Computing

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“…Moreover, the authors tried to associate the component fault tree view with the plot diagram to allow maintaining helpful context information about the current state of the system. An interesting visualization system, called SViT (Safety Visualization Technique), was proposed by [Kumar et al 2009] showing the status of the digital home. SVit helps the homeowner to know the current safety level of the home and the reasons behind this level.…”

Section: Related Workmentioning

confidence: 99%

ESSAVis: A 2Dplus3D Visual Platform for Speeding Up the Maintenance Process of Embedded Systems

AlTarawneh

Bauer

Keller

et al. 2013

Electronic Workshops in Computing

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Modern embedded systems contain complex structures, as they are composed of many subsystems. Maintaining such systems requires collaboration between the engineers who designed them and the engineers who analyzed the failures in them. In this paper we present our proposed visual platform ESSAVis, a 2Dplus3D environment, to help both kinds of engineers in understanding the failure mechanisms of such systems. The goal of the proposed platform is to improve the understanding of the failure mechanisms in these systems and to reduce the communication gap between the system engineers and safety engineers. We describe the design process and the implementation of the 2Dplus3D visual platform, which was accomplished through a continuous end-user feedback. We designed a detailed evaluation study, in which we aim to measure the usability of our tool. The plan of the evaluation is designed with the help of the endusers to ensure that ESSAVis fulfills the expected goals in speeding up the analyzing process of safety aspects of embedded systems.

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“…So an effective approach for home safety problem detection and reaction is necessary. Even though some proposed systems can partially solve the problem, like [3][6] [7] [8], there are still some aspects that they didn't take into consideration. Firstly, the proposed system should not be an isolated system.…”

Section: Introductionmentioning

confidence: 99%

Event-based home safety problem detection under the CPS home safety architecture

Yang

Lim

Tan

2013

2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)

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This paper presents a CPS(Cyber-physical System) home safety architecture for home safety problem detection and reaction and shows some example cases. In order for home safety problem detection, there are three levels of events defined: elementary event, semantic event and entire event, which representing the meaning from parameter to single safety problem, and then the whole safety status of a house. For the relationship between these events and raw data, a Finite State Machine (FSM) based modeling is applied. Including the raw data, these are taken as input and output to the three levels of FSMs. By using this way of event composition, not only single safety problem, but also safety level of the whole house can be precisely described. In order to verify the mechanism of hierarchical FSMs and by using this mechanism, safety problems and safety level of a house can be correctly represented. And also verify that different levels of events can precisely representing what is happening. Two simulation cases are proposed: one is heat stroke and another is carbon monoxide poisoning. The simulation result shows that the simulation targets are satisfied.

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SaViT: Technique for Visualization of Digital Home Safety

Cited by 5 publications

References 9 publications

Improving the Failure Understanding in Embedded Systems through Interactive Visual Support: An Evaluation Study

Improving the Failure Understanding in Embedded Systems through Interactive Visual Support: An Evaluation Study

ESSAVis: A 2Dplus3D Visual Platform for Speeding Up the Maintenance Process of Embedded Systems

Event-based home safety problem detection under the CPS home safety architecture

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