Ming-Yang Zhou

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One of the most significant complexities of managing concurrent engineering (CE) projects is the identification and mitigation of project risks. The challenges that project managers encounter are compounded by constantly evolving business requirements and the large volumes of data involved in such projects. In this research, rapid prototyping techniques(More)
The challenges of product design and development in concurrent engineering are analysed. Bayesian Belief Networks are applied to map the relationships between risk events in a product’s life-cycle. This approach enables the concurrency between risk items to be captured and the cumulative effects of dependencies between risk events to be determined. The(More)
Based on earlier work on risk quantification, a new risk mitigation methodology is developed for new product and process design in concurrent engineering projects. First the most prominent risks in the product life cycle are identified and quantified. Then five computational algorithms are developed and used to find feasible solutions for mitigating these(More)
asp?NoDoc=2726 280L. Lü, T. Zhou, Link prediction in complex networks: A survey, Physica A 390 (6) (2011) 1150–1170. 281L. Lü, L. Pan, T. Zhou, Y.-C. Zhang, H. E. Stanley, Toward link predictability of complex networks, Proceedings of the National Academy of Sciences 112 (8) (2015) 2325–2330. 282G. T. Hart, A. K. Ramani, E. M. Marcotte, How complete are(More)
Controlling complex networks is of paramount importance in science and engineering. Despite recent efforts to improve controllability and synchronous strength, little attention has been paid to the speed of pinning synchronizability (rate of convergence in pinning control) and the corresponding pinning node selection. To address this issue, we propose a(More)
Community structure can naturally emerge in paths to synchronization, and scratching it from the paths is a tough issue that accounts for the diverse dynamics of synchronization. In this paper, with assumption that the synchronization on complex networks is made up of local and collective processes, we proposed a scheme to lock the local synchronization(More)
Link prediction aims to uncover the underlying relationship behind networks, which could be utilized to predict the missing edges or identify the spurious edges, and attracts much attention from various fields. The key issue of link prediction is to estimate the likelihood of two nodes in networks. Most current approaches of link prediction base on static(More)
Hao Liao, Mingyang Zhou, Zong-wen Wei, Rui Mao,Alexandre VidmerYi-Cheng Zhang 1 Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, P.R. China 2 Department of Physics, University of Fribourg, Chemin du Musée 3, CH-1700 Fribourg, Switzerland 3(More)
Link prediction aims to uncover the underlying relationship behind networks, which could be utilized to predict missing edges or identify the spurious edges. The key issue of link prediction is to estimate the likelihood of potential links in networks. Most classical static-structure based methods ignore the temporal aspects of networks, limited by the(More)
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