26 research outputs found
Activity and Social Integration: Bridging and Bonding Social Capital
Research about the ideal characters and role of activities in terms of social interaction and people gathering in a culture diverse neighborhood. How to create opportunities for residents to interact and find common activities to improve their relationship is the main intention.Architecture, Urbanism and Building Sciences | Interiors Buildings Citie
Research on Standardization of Train Dispatcher Operations
Based on the actual operation of daily train reception and departure at stations, the author conducted research on the standardized
operation evaluation of train dispatchers. Through the research of the project, a 1:1 station simulation training system is simulated, using
technologies such as eye movement recognition, limb motion recognition, and speech recognition to record and analyze the “eye, finger, and
mouth call” operation information of train dispatchers. Combined with the operation analysis of the CTC system, the standardization of train
dispatchers’ work is achieved
Improving I/O performance for High Performance Computing with Application Forwarding Layer
Optical sensing at the nanobiointerface of metal ion–optically-active nanocrystals
Optically-active nanocrystals (such as quantum dots and plasmonic noble metal nanoparticles) have received great attention due to their size-tunable optical properties.</p
Photo-Stimulated Polychromatic Room Temperature Phosphorescence of Carbon Dots
Single-component multicolor luminescence, particularly phosphorescence materials are highly attractive both in numerous applications and in-depth understanding the light-emission processes, but formidable challenges still exist for preparing such materials. Herein, a very facile approach is reported to synthesize carbon dots (CDs) (named MP-CDs) that exhibit multicolor fluorescence (FL), and more remarkably, multicolor long-lived room temperature phosphorescence (RTP) under ambient conditions. The FL and RTP colors of the CDs powder are observed to change from blue to green and cyan to yellow, respectively, with the excitation wavelength shifting from 254 to 420 nm. Further studies demonstrate that the multicolor emissions can be attributed to the existence of multiple emitting centers in the CDs and the relatively higher reaction temperature plays a critical role for achieving RTP. Given the unique optical properties, a preliminary application of MP-CDs in advanced anti-counterfeiting is presented. This study not only proposes a strategy to prepare photo-stimulated multicolor RTP materials, but also reveals great potentials of CDs in exploiting novel optical materials with unique properties
Network dynamic defense system based on holographic transformation
Aimed at the problem of the boundary defense easily being out of availability caused by the static network structure, a novel dynamic enterprise network defense system based on holographic transformation is designed and implemented. To increase the uncertainty of network structure and the position of target nodes, the network view is dynamically changed by constantly transforming endpoint information. Virtual endpoint mutation and hopping period selection are achieved by the hopping address generation module. It takes the advantages of anti-collision and good randomicity of the Chinese national SM3 hash algorithm. The full-cycle hopping period is managed and controlled by the hopping period management mechanism based on the ciphertext policy attribute-based broadcast holographic transformation. Experiments show that the system achieves expected security goals and has good interactivity and high stability
Rolling bearing fault analysis based on variational mode decomposition and multiscale arrangement entropy
Rolling bearings in operation will appear nonlinear characteristics of the fault vibration signal. In the process of fault feature extraction, a single permutation entropy (PE) produces unsatisfactory results and low accuracy. In this paper, a new diagnostic method was proposed, which was based on variational mode decomposition (VMD) and multiscale permutation entropy (MPE) to diagnose and analyze rolling bearing faults, multi-scale aligned entropy features of intrinsic mode function (IMF) of faulty vibration signals were extracted, and then support vector machine (SVM) and K-nearest neighbor algorithm (KNN) were used to analyze these features, and the maximum attribution metrics were used to determine classification results. The test results show that this method can improve the detection accuracy by comparing with other test analysis methods
