Tensor LRR and sparse coding-based subspace clustering

Subspace clustering groups a set of samples from a union of several linear subspaces into clusters, so that the samples in the same cluster are drawn from the same linear subspace. In the majority of the existing work on subspace clustering, clusters are built based on feature information, while sample correlations in their original spatial structure are simply ignored. Besides, original high-dimensional feature vector contains noisy/redundant information, and the time complexity grows exponentially with the number of dimensions. To address these issues, we propose a tensor low-rank representation (TLRR) and sparse coding-based (TLRRSC) subspace clustering method by simultaneously considering feature information and spatial structures. TLRR seeks the lowest rank representation over original spatial structures along all spatial directions. Sparse coding learns a dictionary along feature spaces, so that each sample can be represented by a few atoms of the learned dictionary. The affinity matrix used for spectral clustering is built from the joint similarities in both spatial and feature spaces. TLRRSC can well capture the global structure and inherent feature information of data, and provide a robust subspace segmentation from corrupted data. Experimental results on both synthetic and real-world data sets show that TLRRSC outperforms several established state-of-the-art methods

Vibration signal analysis of main coolant pump flywheel based on Hilbert–Huang transform

AbstractIn this paper, a three-dimensional model for the dynamic analysis of a flywheel based on the finite element method is presented.The static structure analysis for the model provides stress and strain distribution cloud charts. The modal analysis provides the basis of dynamic analysis due to its ability to obtain the natural frequencies and the vibration–made vectors of the first 10 orders.The results show the main faults are attrition and cracks, while also indicating the locations and patterns of faults. The harmonic response simulation was performed to gain the vibration response of the flywheel under operation.In this paper, we present a Hilbert–Huang transform (HHT) algorithm for flywheel vibration analysis. The simulation indicated that the proposed flywheel vibration signal analysis method performs well, which means that the method can lay the foundation for the detection and diagnosis in a reactor main coolant pump

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining

Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses the power of computational techniques to analyze educational data. With the increasing complexity and diversity of educational data, Deep Learning techniques have shown significant advantages in addressing the challenges associated with analyzing and modeling this data. This survey aims to systematically review the state-of-the-art in EDM with Deep Learning. We begin by providing a brief introduction to EDM and Deep Learning, highlighting their relevance in the context of modern education. Next, we present a detailed review of Deep Learning techniques applied in four typical educational scenarios, including knowledge tracing, undesirable student detecting, performance prediction, and personalized recommendation. Furthermore, a comprehensive overview of public datasets and processing tools for EDM is provided. Finally, we point out emerging trends and future directions in this research area.Comment: 21 pages, 5 figure

Effects of traditional trabeculectomy, mitomycin C trabeculectomy and sclera pool trabeculectomy on post-surgical life quality in glaucoma patients

AIM: To explore and compare the effects of trabeculectomy, mitomycin C(MMC)trabeculectomy and sclera pool trabeculectomy on life quality of patients with glaucoma. <p>METHODS: Totally, 60 patients(60 eyes)with glaucoma were divided into group A, B and C equally and randomly. Twenty patients(20 eyes)in group A received treatment of traditional trabeculectomy; Twenty patients(20 eyes)in group B received MMC trabeculectomy; while twenty patients(20 eyes)in group C received sclera pool trabeculectomy. One-year follow study was proposed, Chinese version low vision quality of life questionnaire(CLVQOL)and self- assessment score were used to evaluate effects of surgeries on life quality of patients. <p>RESULTS: Compared with group A, scoring of CLVQOL increased significantly in group B and C, and more significantly in group C(distant vision, movement, sensitization and fine work)when compared with group B(<i>P</i><0.05). Compared with group A, scoring of self assessment increased significantly in group B and C, more significantly in group C(vision self scoring and subjective brightness scoring)when compared with group B(<i>P</i><0.05). <p>CONCLUSION: The improvement effect of sclera pool trabeculectomy on life quality of patient with glaucoma is better than traditional and MMC trabeculectomy