Ran Jin

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With the advancement of distributed sensing technologies, abundant data are generated in rolling processes. While these data contain rich information about the process and product, it is a challenging task to develop a systematic method to model the relationship between process and product quality variables for quality improvements. This paper addresses(More)
Spectral clustering algorithm has proved be more effective than most traditional algorithms in finding clusters. However, its high computational complexity limits its effect in actual application. This paper combines the spectral clustering with MapReduce, through evaluation of sparse matrix eigenvalue and computation of distributed cluster, puts forward(More)
Bioelectrochemical systems (BES) are promising technologies to convert organic compounds in wastewater to electrical energy through a series of complex physical-chemical, biological and electrochemical processes. Representative BES such as microbial fuel cells (MFCs) have been studied and advanced for energy recovery. Substantial experimental and modeling(More)
b In conventional profile monitoring problems, profiles for products or process runs are assumed to have the same length. Statistical monitoring cannot be implemented until a complete profile is obtained. However, in certain cases, a single profile may require several days to generate, so it is important to monitor the profile trajectory to detect(More)
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