Institution
Tongji University
Education•Shanghai, China•
About: Tongji University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Population & Adsorption. The organization has 76116 authors who have published 81176 publications receiving 1248911 citations. The organization is also known as: Tongji & Tóngjì Dàxué.
Topics: Population, Adsorption, Cancer, Finite element method, Lung cancer
Papers published on a yearly basis
Papers
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TL;DR: The sequential extraction procedure developed by Tessier et al. was used in sludge anaerobic digestion to determine the heavy metal speciation and showed significant degrees of correlation between heavy metal fractions and changes of some selected parameters (for example, pH, VS/TS, and VFA content).
200 citations
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TL;DR: Wireless coverage based on massive MIMO for railway stations and train cars is proposed to fulfill the requirement of high-data-rate and high spectrum efficiency and the technical challenges brought by the massive M IMO technique are discussed.
Abstract: The future development of the railway is highly desired to evolve into a new era where infrastructure, trains, travelers, and goods will be increasingly interconnected to provide high comfort, with optimized door-to-door mobility at higher safety. For this vision, it is required to realize seamless high data rate wireless connectivity for railways. To improve the safety and comfort of future railways, wireless communications for railways are required to evolve from only voice and traditional train control signaling services to various high data rate services including critical high-definition (HD) video and other more bandwidth-intensive passenger services, such as onboard and wayside HD video surveillance, onboard real-time high data rate services, train multimedia dispatching video streaming, railway mobile ticketing, and the Internet of Things for railways. Corresponding mobile communications network architecture under various railway scenarios including inter-car, intra-car, inside station, train-to-infrastructure and infrastructure- to-infrastructure are proposed in this article. Wireless coverage based on massive MIMO for railway stations and train cars is proposed to fulfill the requirement of high-data-rate and high spectrum efficiency. The technical challenges brought by the massive MIMO technique are discussed as well.
200 citations
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TL;DR: In this paper, the finite-time and fixed-time cluster synchronization problem for complex networks with or without pinning control are discussed and numerical simulations are presented to demonstrate the correctness of obtained theoretical results.
Abstract: In this paper, the finite-time and fixed-time cluster synchronization problem for complex networks with or without pinning control are discussed. Finite-time (or fixed-time) synchronization has been a hot topic in recent years, which means that the network can achieve synchronization in finite-time, and the settling time depends on the initial values for finite-time synchronization (or the settling time is bounded by a constant for any initial values for fixed-time synchronization). To realize the finite-time and fixed-time cluster synchronization, some simple distributed protocols with or without pinning control are designed and the effectiveness is rigorously proved. Several sufficient criteria are also obtained to clarify the effects of coupling terms for finite-time and fixed-time cluster synchronization. Especially, when the cluster number is one, the cluster synchronization becomes the complete synchronization problem; when the network has only one node, the coupling term between nodes will disappear, and the synchronization problem becomes the simplest master-slave case, which also includes the stability problem for nonlinear systems like neural networks. All these cases are also discussed. Finally, numerical simulations are presented to demonstrate the correctness of obtained theoretical results.
200 citations
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TL;DR: A new method is put forward that fuses multi-modal sensor signals, i.e. the data collected by an accelerometer and a microphone, to realize more accurate and robust bearing-fault diagnosis.
199 citations
Authors
Showing all 76610 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gang Chen | 167 | 3372 | 149819 |
Yang Yang | 164 | 2704 | 144071 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Jian Li | 133 | 2863 | 87131 |
Jianlin Shi | 127 | 859 | 54862 |
Zhenyu Zhang | 118 | 1167 | 64887 |
Ju Li | 109 | 623 | 46004 |
Peng Wang | 108 | 1672 | 54529 |
Qian Wang | 108 | 2148 | 65557 |
Yan Zhang | 107 | 2410 | 57758 |
Richard B. Kaner | 106 | 557 | 66862 |
Han-Qing Yu | 105 | 718 | 39735 |
Wei Zhang | 104 | 2911 | 64923 |
Fabio Marchesoni | 104 | 607 | 74687 |
Feng Li | 104 | 995 | 60692 |