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| 1 | Recovery of coupled networks after cascading failures显示文摘With society's increasing dependence on critical infrastructure such as power grids and communications systems, the robustness of these systems has attracted significant attention.Failure of some nodes can trigger a cascading failure, which completely fragments the network, necessitating recovery efforts to improve robustness of complex systems. Inspired by real-world scenarios, this paper proposes repair models after two kinds of network failures, namely complete and incomplete collapse. In both models, three kinds of repair strategies are possible, including random selection(RS), node selection based on single network node degree(SD), and node selection based on double network node degree(DD). We find that the node correlation in each of the two coupled networks affects repair efficiency. Numerical simulation and analysis results suggest that the repair node ratio and repair strategies may have a significant impact on the economics of the repair process. The results of this study thus provide insight into ways to improve the robustness of coupled networks after cascading failures. | GAO Jiazi YIN Yongfeng FIONDELLA Lance LIU Lijun | 2018 | Journal of Systems Engineering and Electronics2018，29，3： | 4 |
| 2 | Software reliability analysis considering correlated component failures with coupling measurement framework显示文摘With progression of the digital age, the complexity of software continues to grow. As a result, methods to quantitatively assess characteristics of software have attracted significant attention. These efforts have led to a large number of new measures such as coupling metrics, many of which seek to consider the impact of correlations between components and failures on application reliability. However, most of these approaches set the coupling parameters arbitrarily by making assumptions instead of utilizing experimental data and therefore may not accurately capture actual coupling between components of software application. Since the coupling matrix is often set arbitrarily, the existing approaches to assess software reliability considering component correlation fail to reflect the real degree of interaction and relationships among software components. This paper presents an efficient approach to assess the software reliability considering correlated component failures, incorporating software architecture while considering actual internal coupling of software with an efficient approach based on multivariate Bernoulli(MVB) distribution. The unified framework for software coupling measurement is informed by a comprehensive survey of frameworks for objectoriented and procedure-oriented software. This framework enables the extraction of more accurate coupling among components. The effectiveness of this method is illustrated through an experimental study by applying it to a real-time software application. | Xiaodan Li Yongfeng Yin Lance Fiondella Yibin Zhou | 2015 | Journal of Systems Science & Complexity2015，28，5： | 3 |
| 3 | Increasing Doublecortin Expression Promotes Migration of Human Embryonic Stem Cell‐Derived Neurons显示文摘 | Radmila Filipovic Saranya Santhosh Kumar Chris Fiondella Joseph Loturco | 2012 | STEM CELLS2012，，9： | 1 |
| 4 | The effects of Kiaa0319 knockdown on cortical and subcortical anatomy in male rats显示文摘 | Szalkowski CE Fiondella CF Truong DT | 2013 | Int J Dev Neurosci2013，31，2： | 1 |
| 5 | Efficient software reliability analysis with correlated component failures 显示文摘 | Fiondella L Rajasekaran S Gokhale S S | 2013 | IEEE Transactions on Reliability2013，，6： | 1 |
| 6 | Software Reliability with Architectural Uncertainties 显示文摘 | GOKHALE S S FIONDELLA L | 2008 | Parallel and Distributed Processing2008，25，4： | 1 |
| 7 | In- creasing doublecortin expression promotes migration of hu- man embryonic stem cell-derived neurons 显示文摘 | Filipovic R Santhosh Kumar S Fiondella C | 2012 | Stem Ceils2012，30，9： | 1 |
| 8 | Quantifying the impact of corre- lated failures on system reliability by a simulation approach 显示文摘 | LIN Y K FIONDELLA L | 2013 | Reliability Engineering and System Safety2013，109，5： | 1 |
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