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1,045 results on '"Wang, Mengke"'

1. Polarization splitter rotator on thin film lithium niobate based on multimode interference

Author

Wang, Mengke, Yao, Hao, Deng, Jiayao, Hu, Zhefeng, Tang, Tingting, and Chen, Kaixin

Subjects
Physics - Optics, Physics - Applied Physics
Abstract

Polarization splitter-rotators (PSRs) are the key elements to realize on-chip polarization manipulation. Current PSRs on thin film lithium niobate (TFLN) rely on sub-micron gaps to realize modes separation, which increase the difficulties of lithography and etching. In this paper, a polarization splitter-rotator on TFLN based on multimode interference (MMI) is demonstrated. Mode division is achieved by an MMI-based mode demultiplexer. The feature size of the PSR is 1.5 {\mu}m, which can be fabricated with low priced i-line contact aligners. Experimental results show a polarization extinction ratio (PER) > 20 dB and insertion loss (IL) <1.5 dB are achieved in a wavelength range of 1542-1600 nm for TE-polarized light. And a PER > 9.5 dB and an IL <3.0 dB are achieved in a wavelength range of 1561-1600 nm for TM-polarized light. This PSR could find application in the low-cost fabrication of dual-polarization TFLN integrated photonic devices.

Published
2024

2. Spindle oscillations in communicating axons within a reconstituted hippocampal formation are strongest in CA3 without thalamus.

Author

Wang, Mengke, Lassers, Samuel, Vakilna, Yash, Mander, Bryce, Tang, William, and Brewer, Gregory

Subjects
Axon, Axons, CA1, CA3, Dentate, EEG waves, Entorhinal, Hippocampus, LFP, Oscillation, Spindle, Humans, Hippocampus, Thalamus, Cerebral Cortex, Axons, Neurons, Electroencephalography, Sleep
Abstract

Spindle-shaped waves of oscillations emerge in EEG scalp recordings during human and rodent non-REM sleep. The association of these 10-16 Hz oscillations with events during prior wakefulness suggests a role in memory consolidation. Human and rodent depth electrodes in the brain record strong spindles throughout the cortex and hippocampus, with possible origins in the thalamus. However, the source and targets of the spindle oscillations from the hippocampus are unclear. Here, we employed an in vitro reconstruction of four subregions of the hippocampal formation with separate microfluidic tunnels for single axon communication between subregions assembled on top of a microelectrode array. We recorded spontaneous 400-1000 ms long spindle waves at 10-16 Hz in single axons passing between subregions as well as from individual neurons in those subregions. Spindles were nested within slow waves. The highest amplitudes and most frequent occurrence suggest origins in CA3 neurons that send feed-forward axons into CA1 and feedback axons into DG. Spindles had 50-70% slower conduction velocities than spikes and were not phase-locked to spikes suggesting that spindle mechanisms are independent of action potentials. Therefore, consolidation of declarative-cognitive memories in the hippocampus may be separate from the more easily accessible consolidation of memories related to thalamic motor function.

Published
2024

12. Study on Wave Climate Characteristics and Extreme Conditions in Beibu Gulf

Author

Ji, Dawei, Han, Zhicong, Fan, Shiyue, Wang, Mengke, Cao, Yingzhi, Deng, Hong, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, and Weng, Chih-Huang, editor

Published
2024
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13. Local Binary Pattern and RVFL for Covid-19 Diagnosis

Author

Wang, Mengke, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wang, Bing, editor, Hu, Zuojin, editor, Jiang, Xianwei, editor, and Zhang, Yu-Dong, editor

Published
2024
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21. 2-Period Balanced Travelling Salesman Problem: a polynomially solvable case and heuristics

Author

Deineko, Vladimir, Klinz, Bettina, and Wang, Mengke

Subjects
Mathematics - Optimization and Control, 90C27
Abstract

We consider the NP-hard 2-period balanced travelling salesman problem. In this problem the salesman needs to visit a set of customers in two time periods. A given subset of the customers has to be visited in both periods while the rest of the customers need to be visited only once, in any of the two periods. Moreover, it is required that the number of customers visited in the first period does not differ from the respective number in the second period by more than p, where p is a given small constant. The objective is to find tours for visiting the customers in the two periods with minimal total length. We show that in the case when the underlying distance matrix is a Kalmanson matrix, the problem can be solved in polynomial time. For the general case, we propose two new heuristics. A combination of these two heuristics has shown very favourable results in computational experiments on benchmark instances from the literature., Comment: 19 pages, 4 figures, version Nov 2021

Published
2022

40. DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization

Author

Shao, Shuai, Wang, Mengke, Xu, Rui, Wang, Yan-Jiang, and Liu, Bao-Di

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

For classification tasks, dictionary learning based methods have attracted lots of attention in recent years. One popular way to achieve this purpose is to introduce label information to generate a discriminative dictionary to represent samples. However, compared with traditional dictionary learning, this category of methods only achieves significant improvements in supervised learning, and has little positive influence on semi-supervised or unsupervised learning. To tackle this issue, we propose a Dynamic Label Dictionary Learning (DLDL) algorithm to generate the soft label matrix for unlabeled data. Specifically, we employ hypergraph manifold regularization to keep the relations among original data, transformed data, and soft labels consistent. We demonstrate the efficiency of the proposed DLDL approach on two remote sensing datasets.

Published
2020

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