Design and Safety Analysis for System Architecture: A Breeze/ADL-Based Approach

Chen, Luxi; Huang, Linpeng; Li, Chen; Wu, Linzhu; Luo, Weilin

doi:10.1109/compsac.2014.35

Cited by 7 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the future, we plan to include more modalities, such as eye-gazing and body position, with the current approach and provide a more comprehensive representation of the attention level. Furthermore, we will investigate industrial standards (e.g., ISO 10218 7 ) and design strategies [16] [17] to build a safer environment for human-robot collaboration in industrial settings. We are also reaching out to our industrial partners to identify potential industrial cases where human attention needs to be tracked and monitored for further validation.…”

Section: Methodsmentioning

confidence: 99%

A Multimodal Attention Tracking in Human-Robot Interaction in Industrial Robots for Manufacturing Tasks

Li,

Kaszowska,

Chrysostomou

2023

2023 28th International Conference on Automation and Computing (ICAC)

Self Cite

View full text Add to dashboard Cite

The field of human-robot interaction has seen tremendous growth in recent years, and the use of robots in manufacturing tasks has become increasingly common. However, the success of human-robot interaction is highly dependent on the ability of the robot to understand and adapt to the human operator's actions and attention. In this paper, we propose a novel approach that uses a context-aware natural language interface and position tracker to track the operator's attention and improve interaction with the robot. The system integrates multimodal inputs such as head pose estimation and intent recognition to accurately predict the operator's attention and adjust the robot's behaviors. The proposed approach is evaluated in a manufacturing logistic scenario, and the results show a significant improvement in collaboration and a reduction in errors in task completion. The approach is expected to have broad applicability in industrial manufacturing settings, where it can enhance productivity and efficiency by improving humanrobot interaction.

show abstract

Section: Methodsmentioning

confidence: 99%

A Multimodal Attention Tracking in Human-Robot Interaction in Industrial Robots for Manufacturing Tasks

Li,

Kaszowska,

Chrysostomou

2023

2023 28th International Conference on Automation and Computing (ICAC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Our group propose a new ADL named Breeze/ADL which represents software architecture in XML format according to breeze graph grammar (BGG) [17]. Chen et al [18] weave safety elements into Breeze/ADL and implement failure analysis towards the system architecture. Breeze/ADL not only provides an easy-touse graphical architecture modeling method, but also support failure analysis in components.…”

Section: Architecture Modeling and Failure Modes Identificationmentioning

confidence: 99%

Using entropy weight-based TOPSIS to implement failure mode and effects analysis

Huang

et al. 2014

Proceedings of the 6th Asia-Pacific Symposium on Internetware on Internetware

Self Cite

View full text Add to dashboard Cite

Failure mode and effects analysis (FMEA) is a widely used technique for designing, identifying and eliminating known and/or potential failures from system, design and process. In the traditional FMEA, for each failure mode, risk factors of Occurrence, Severity and Detection are evaluated and simply multiplied to obtain a risk priority number. Besides, the weights of three risk factors are also ignored. To overcome these shortcomings of traditional FMEA, we propose a novel FMEA approach for obtaining a more rational ranking of failure modes by integrating entropy weighting method with 'Technique for Order Performance by Similarity to Ideal Solution'(TOPSIS). Finally, a case study about purchasing website is provided to demonstrate the feasibility and benefits of the proposed approach. A plugin in our tool-Breeze is developed to support the proposed approach.

show abstract

“…Enhancing the performance of software safety is a critical and challenging task (Knight, 2002). Large number of studies have analyzed and addressed various issues related to software safety (Software Safety, 1997;Bhansali, 2005;Axelrod, 2014;Chen et al, 2014). This section addresses the issues reported by some of the previous researchers (Cruickshank et al, 2009;IEEE, 1994).…”

Section: Introductionmentioning

confidence: 99%

A GQM Based Approach towards the Development of Metrics for Software Safety

Kotti¹,

Panchumarthy²

2015

Journal of Computer Science

View full text Add to dashboard Cite

Software sometimes safety-critical if it resides in a safetycritical computer systems and it causes or contributes to hazards. Therefore, Safety-critical software intensive systems require verification and validation to confirm that they function as per the safety requirements. Software Safety is a combination of many factors. Metrics are commonly used in engineering as measures for the performance of a system on a given attribute. This paper presents a methodology for software safety framework based on Goal-Question-Metric (GQM) Approach. The proposed methodology was applied to a safety-critical Railroad Crossing Control System (RCCS) which is a laboratory prototype. The outcomes of the prototype are satisfactory and observed that safety risks are within the acceptable threshold level.

show abstract

Design and Safety Analysis for System Architecture: A Breeze/ADL-Based Approach

Cited by 7 publications

References 11 publications

A Multimodal Attention Tracking in Human-Robot Interaction in Industrial Robots for Manufacturing Tasks

A Multimodal Attention Tracking in Human-Robot Interaction in Industrial Robots for Manufacturing Tasks

Using entropy weight-based TOPSIS to implement failure mode and effects analysis

A GQM Based Approach towards the Development of Metrics for Software Safety

Contact Info

Product

Resources

About